來源：ICML會議
作者：圖靈助手
[1]. The Role of Machine Learning in Business Optimization.
作者: Chid Apté,
https://icml.cc/Conferences/2010/papers/903.pdf
[2]. FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model.
作者: Mark Joseph Cummins,Paul M. Newman,
https://icml.cc/Conferences/2010/papers/906.pdf
[3]. Discriminative Latent Variable Models for Object Detection.
作者: Pedro F. Felzenszwalb,Ross B. Girshick,David A. McAllester,Deva Ramanan,
https://icml.cc/Conferences/2010/papers/907.pdf
[4]. Music Plus One and Machine Learning.
作者: Christopher Raphael,
https://icml.cc/Conferences/2010/papers/904.pdf
[5]. Climbing the Tower of Babel: Unsupervised Multilingual Learning.
作者: Benjamin Snyder,Regina Barzilay,
https://icml.cc/Conferences/2010/papers/905.pdf
[6]. Detecting Large-Scale System Problems by Mining Console Logs.
作者: Wei Xu,Ling Huang,Armando Fox,David A. Patterson,Michael I. Jordan,
https://icml.cc/Conferences/2010/papers/902.pdf
[7]. Particle Filtered MCMC-MLE with Connections to Contrastive Divergence.
作者: Arthur U. Asuncion,Qiang Liu,Alexander T. Ihler,Padhraic Smyth,
https://icml.cc/Conferences/2010/papers/246.pdf
[8]. Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm.
作者: Rémi Bardenet,Balázs Kégl,
https://icml.cc/Conferences/2010/papers/297.pdf
[9]. Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process.
作者: Nicholas Bartlett,David Pfau,Frank D. Wood,
https://icml.cc/Conferences/2010/papers/549.pdf
[10]. Robust Formulations for Handling Uncertainty in Kernel Matrices.
作者: Sahely Bhadra,Sourangshu Bhattacharya,Chiranjib Bhattacharyya,Aharon Ben-Tal,
https://icml.cc/Conferences/2010/papers/268.pdf
[11]. Active Learning for Networked Data.
作者: Mustafa Bilgic,Lilyana Mihalkova,Lise Getoor,
https://icml.cc/Conferences/2010/papers/544.pdf
[12]. Distance dependent Chinese restaurant processes.
作者: David M. Blei,Peter I. Frazier,
https://icml.cc/Conferences/2010/papers/551.pdf
[13]. Causal filter selection in microarray data.
作者: Gianluca Bontempi,Patrick E. Meyer,
https://icml.cc/Conferences/2010/papers/78.pdf
[14]. Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences.
作者: Antoine Bordes,Nicolas Usunier,Jason Weston,
https://icml.cc/Conferences/2010/papers/331.pdf
[15]. A Theoretical Analysis of Feature Pooling in Visual Recognition.
作者: Y-Lan Boureau,Jean Ponce,Yann LeCun,
https://icml.cc/Conferences/2010/papers/638.pdf
[16]. Multi-agent Learning Experiments on Repeated Matrix Games.
作者: Bruno Bouzy,Marc Métivier,
https://icml.cc/Conferences/2010/papers/76.pdf
[17]. Learning Tree Conditional Random Fields.
作者: Joseph K. Bradley,Carlos Guestrin,
https://icml.cc/Conferences/2010/papers/586.pdf
[18]. Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering.
作者: Nader H. Bshouty,Philip M. Long,
https://icml.cc/Conferences/2010/papers/119.pdf
[19]. Fast boosting using adversarial bandits.
作者: Róbert Busa-Fekete,Balázs Kégl,
https://icml.cc/Conferences/2010/papers/263.pdf
[20]. Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.
作者: Kevin Robert Canini,Mikhail M. Shashkov,Thomas L. Griffiths,
https://icml.cc/Conferences/2010/papers/180.pdf
[21]. Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains.
作者: Bin Cao,Nathan Nan Liu,Qiang Yang,
https://icml.cc/Conferences/2010/papers/505.pdf
[22]. The Elastic Embedding Algorithm for Dimensionality Reduction.
作者: Miguel Á. Carreira-Perpiñán,
https://icml.cc/Conferences/2010/papers/123.pdf
[23]. Random Spanning Trees and the Prediction of Weighted Graphs.
作者: Nicolò Cesa-Bianchi,Claudio Gentile,Fabio Vitale,Giovanni Zappella,
https://icml.cc/Conferences/2010/papers/298.pdf
[24]. Efficient Learning with Partially Observed Attributes.
作者: Nicolò Cesa-Bianchi,Shai Shalev-Shwartz,Ohad Shamir,
https://icml.cc/Conferences/2010/papers/319.pdf
[25]. Convergence, Targeted Optimality, and Safety in Multiagent Learning.
作者: Doran Chakraborty,Peter Stone,
https://icml.cc/Conferences/2010/papers/453.pdf
[26]. Structured Output Learning with Indirect Supervision.
作者: Ming-Wei Chang,Vivek Srikumar,Dan Goldwasser,Dan Roth,
https://icml.cc/Conferences/2010/papers/522.pdf
[27]. Dynamical Products of Experts for Modeling Financial Time Series.
作者: Yutian Chen,Max Welling,
https://icml.cc/Conferences/2010/papers/175.pdf
[28]. Label Ranking Methods based on the Plackett-Luce Model.
作者: Weiwei Cheng,Krzysztof Dembczynski,Eyke Hüllermeier,
https://icml.cc/Conferences/2010/papers/353.pdf
[29]. Graded Multilabel Classification: The Ordinal Case.
作者: Weiwei Cheng,Krzysztof Dembczynski,Eyke Hüllermeier,
https://icml.cc/Conferences/2010/papers/596.pdf
[30]. Comparing Clusterings in Space.
作者: Michael H. Coen,M. Hidayath Ansari,Nathanael Fillmore,
https://icml.cc/Conferences/2010/papers/642.pdf
[31]. Two-Stage Learning Kernel Algorithms.
作者: Corinna Cortes,Mehryar Mohri,Afshin Rostamizadeh,
https://icml.cc/Conferences/2010/papers/125.pdf
[32]. Generalization Bounds for Learning Kernels.
作者: Corinna Cortes,Mehryar Mohri,Afshin Rostamizadeh,
https://icml.cc/Conferences/2010/papers/179.pdf
[33]. Fast Neighborhood Subgraph Pairwise Distance Kernel.
作者: Fabrizio Costa,Kurt De Grave,
https://icml.cc/Conferences/2010/papers/347.pdf
[34]. Mining Clustering Dimensions.
作者: Sajib Dasgupta,Vincent Ng,
https://icml.cc/Conferences/2010/papers/582.pdf
[35]. Bottom-Up Learning of Markov Network Structure.
作者: Jesse Davis,Pedro M. Domingos,
https://icml.cc/Conferences/2010/papers/537.pdf
[36]. Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.
作者: Krzysztof Dembczynski,Weiwei Cheng,Eyke Hüllermeier,
https://icml.cc/Conferences/2010/papers/589.pdf
[37]. A Conditional Random Field for Multiple-Instance Learning.
作者: Thomas Deselaers,Vittorio Ferrari,
https://icml.cc/Conferences/2010/papers/87.pdf
[38]. Asymptotic Analysis of Generative Semi-Supervised Learning.
作者: Joshua V. Dillon,Krishnakumar Balasubramanian,Guy Lebanon,
https://icml.cc/Conferences/2010/papers/107.pdf
[39]. Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing.
作者: Frank Dondelinger,Sophie Lèbre,Dirk Husmeier,
https://icml.cc/Conferences/2010/papers/286.pdf
[40]. Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.
作者: Carlton Downey,Scott Sanner,
https://icml.cc/Conferences/2010/papers/295.pdf
[41]. High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models.
作者: Gregory Druck,Andrew McCallum,
https://icml.cc/Conferences/2010/papers/643.pdf
[42]. On the Consistency of Ranking Algorithms.
作者: John C. Duchi,Lester W. Mackey,Michael I. Jordan,
https://icml.cc/Conferences/2010/papers/421.pdf
[43]. Inverse Optimal Control with Linearly-Solvable MDPs.
作者: Krishnamurthy Dvijotham,Emanuel Todorov,
https://icml.cc/Conferences/2010/papers/571.pdf
[44]. Continuous-Time Belief Propagation.
作者: Tal El-Hay,Ido Cohn,Nir Friedman,Raz Kupferman,
https://icml.cc/Conferences/2010/papers/378.pdf
[45]. Nonparametric Information Theoretic Clustering Algorithm.
作者: Lev Faivishevsky,Jacob Goldberger,
https://icml.cc/Conferences/2010/papers/168.pdf
[46]. Feature Selection as a One-Player Game.
作者: Romaric Gaudel,Michèle Sebag,
https://icml.cc/Conferences/2010/papers/247.pdf
[47]. Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
作者: Matan Gavish,Boaz Nadler,Ronald R. Coifman,
https://icml.cc/Conferences/2010/papers/137.pdf
[48]. A Language-based Approach to Measuring Scholarly Impact.
作者: Sean Gerrish,David M. Blei,
https://icml.cc/Conferences/2010/papers/384.pdf
[49]. Boosting Classifiers with Tightened L0-Relaxation Penalties.
作者: Noam Goldberg,Jonathan Eckstein,
https://icml.cc/Conferences/2010/papers/23.pdf
[50]. Budgeted Nonparametric Learning from Data Streams.
作者: Ryan Gomes,Andreas Krause,
https://icml.cc/Conferences/2010/papers/433.pdf
[51]. Learning Fast Approximations of Sparse Coding.
作者: Karol Gregor,Yann LeCun,
https://icml.cc/Conferences/2010/papers/449.pdf
[52]. Boosted Backpropagation Learning for Training Deep Modular Networks.
作者: Alexander Grubb,J. Andrew Bagnell,
https://icml.cc/Conferences/2010/papers/451.pdf
[53]. Interactive Submodular Set Cover.
作者: Andrew Guillory,Jeff A. Bilmes,
https://icml.cc/Conferences/2010/papers/436.pdf
[54]. Large Scale Max-Margin Multi-Label Classification with Priors.
作者: Bharath Hariharan,Lihi Zelnik-Manor,S. V. N. Vishwanathan,Manik Varma,
https://icml.cc/Conferences/2010/papers/344.pdf
[55]. Active Learning for Multi-Task Adaptive Filtering.
作者: Abhay Harpale,Yiming Yang,
https://icml.cc/Conferences/2010/papers/620.pdf
[56]. Bayesian Nonparametric Matrix Factorization for Recorded Music.
作者: Matthew D. Hoffman,David M. Blei,Perry R. Cook,
https://icml.cc/Conferences/2010/papers/523.pdf
[57]. Multi-Task Learning of Gaussian Graphical Models.
作者: Jean Honorio,Dimitris Samaras,
https://icml.cc/Conferences/2010/papers/35.pdf
[58]. Learning Hierarchical Riffle Independent Groupings from Rankings.
作者: Jonathan Huang,Carlos Guestrin,
https://icml.cc/Conferences/2010/papers/605.pdf
[59]. On learning with kernels for unordered pairs.
作者: Martial Hue,Jean-Philippe Vert,
https://icml.cc/Conferences/2010/papers/520.pdf
[60]. A Simple Algorithm for Nuclear Norm Regularized Problems.
作者: Martin Jaggi,Marek Sulovský,
https://icml.cc/Conferences/2010/papers/196.pdf
[61]. Telling cause from effect based on high-dimensional observations.
作者: Dominik Janzing,Patrik O. Hoyer,Bernhard Schölkopf,
https://icml.cc/Conferences/2010/papers/576.pdf
[62]. Proximal Methods for Sparse Hierarchical Dictionary Learning.
作者: Rodolphe Jenatton,Julien Mairal,Guillaume Obozinski,Francis R. Bach,
https://icml.cc/Conferences/2010/papers/416.pdf
[63]. 3D Convolutional Neural Networks for Human Action Recognition.
作者: Shuiwang Ji,Wei Xu,Ming Yang,Kai Yu,
https://icml.cc/Conferences/2010/papers/100.pdf
[64]. Accelerated dual decomposition for MAP inference.
作者: Vladimir Jojic,Stephen Gould,Daphne Koller,
https://icml.cc/Conferences/2010/papers/628.pdf
[65]. Efficient Selection of Multiple Bandit Arms: Theory and Practice.
作者: Shivaram Kalyanakrishnan,Peter Stone,
https://icml.cc/Conferences/2010/papers/410.pdf
[66]. A scalable trust-region algorithm with application to mixed-norm regression.
作者: Dongmin Kim,Suvrit Sra,Inderjit S. Dhillon,
https://icml.cc/Conferences/2010/papers/562.pdf
[67]. Local Minima Embedding.
作者: Minyoung Kim,Fernando De la Torre,
https://icml.cc/Conferences/2010/papers/374.pdf
[68]. Gaussian Processes Multiple Instance Learning.
作者: Minyoung Kim,Fernando De la Torre,
https://icml.cc/Conferences/2010/papers/412.pdf
[69]. Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.
作者: Seyoung Kim,Eric P. Xing,
https://icml.cc/Conferences/2010/papers/352.pdf
[70]. Learning Markov Logic Networks Using Structural Motifs.
作者: Stanley Kok,Pedro M. Domingos,
https://icml.cc/Conferences/2010/papers/502.pdf
[71]. On Sparse Nonparametric Conditional Covariance Selection.
作者: Mladen Kolar,Ankur P. Parikh,Eric P. Xing,
https://icml.cc/Conferences/2010/papers/197.pdf
[72]. Submodular Dictionary Selection for Sparse Representation.
作者: Andreas Krause,Volkan Cevher,
https://icml.cc/Conferences/2010/papers/366.pdf
[73]. Implicit Online Learning.
作者: Brian Kulis,Peter L. Bartlett,
https://icml.cc/Conferences/2010/papers/429.pdf
[74]. Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds.
作者: Tobias Lang,Marc Toussaint,
https://icml.cc/Conferences/2010/papers/77.pdf
[75]. Supervised Aggregation of Classifiers using Artificial Prediction Markets.
作者: Nathan Lay,Adrian Barbu,
https://icml.cc/Conferences/2010/papers/99.pdf
[76]. Bayesian Multi-Task Reinforcement Learning.
作者: Alessandro Lazaric,Mohammad Ghavamzadeh,
https://icml.cc/Conferences/2010/papers/269.pdf
[77]. Analysis of a Classification-based Policy Iteration Algorithm.
作者: Alessandro Lazaric,Mohammad Ghavamzadeh,Rémi Munos,
https://icml.cc/Conferences/2010/papers/303.pdf
[78]. Finite-Sample Analysis of LSTD.
作者: Alessandro Lazaric,Mohammad Ghavamzadeh,Rémi Munos,
https://icml.cc/Conferences/2010/papers/598.pdf
[79]. A fast natural Newton method.
作者: Nicolas Le Roux,Andrew W. Fitzgibbon,
https://icml.cc/Conferences/2010/papers/438.pdf
[80]. Making Large-Scale Nyström Approximation Possible.
作者: Mu Li,James T. Kwok,Bao-Liang Lu,
https://icml.cc/Conferences/2010/papers/242.pdf
[81]. Learning Programs: A Hierarchical Bayesian Approach.
作者: Percy Liang,Michael I. Jordan,Dan Klein,
https://icml.cc/Conferences/2010/papers/568.pdf
[82]. On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning.
作者: Percy Liang,Nati Srebro,
https://icml.cc/Conferences/2010/papers/601.pdf
[83]. Power Iteration Clustering.
作者: Frank Lin,William W. Cohen,
https://icml.cc/Conferences/2010/papers/387.pdf
[84]. Robust Subspace Segmentation by Low-Rank Representation.
作者: Guangcan Liu,Zhouchen Lin,Yong Yu,
https://icml.cc/Conferences/2010/papers/521.pdf
[85]. Robust Graph Mode Seeking by Graph Shift.
作者: Hairong Liu,Shuicheng Yan,
https://icml.cc/Conferences/2010/papers/132.pdf
[86]. Large Graph Construction for Scalable Semi-Supervised Learning.
作者: Wei Liu,Junfeng He,Shih-Fu Chang,
https://icml.cc/Conferences/2010/papers/16.pdf
[87]. Learning Temporal Causal Graphs for Relational Time-Series Analysis.
作者: Yan Liu,Alexandru Niculescu-Mizil,Aurelie C. Lozano,Yong Lu,
https://icml.cc/Conferences/2010/papers/235.pdf
[88]. Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis.
作者: Daniel J. Lizotte,Michael H. Bowling,Susan A. Murphy,
https://icml.cc/Conferences/2010/papers/464.pdf
[89]. Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate.
作者: Philip M. Long,Rocco A. Servedio,
https://icml.cc/Conferences/2010/papers/115.pdf
[90]. Mixed Membership Matrix Factorization.
作者: Lester W. Mackey,David J. Weiss,Michael I. Jordan,
https://icml.cc/Conferences/2010/papers/553.pdf
[91]. Toward Off-Policy Learning Control with Function Approximation.
作者: Hamid Reza Maei,Csaba Szepesvári,Shalabh Bhatnagar,Richard S. Sutton,
https://icml.cc/Conferences/2010/papers/627.pdf
[92]. Constructing States for Reinforcement Learning.
作者: M. M. Hassan Mahmud,
https://icml.cc/Conferences/2010/papers/593.pdf
[93]. Deep learning via Hessian-free optimization.
作者: James Martens,
https://icml.cc/Conferences/2010/papers/458.pdf
[94]. Learning the Linear Dynamical System with ASOS.
作者: James Martens,
https://icml.cc/Conferences/2010/papers/532.pdf
[95]. From Transformation-Based Dimensionality Reduction to Feature Selection.
作者: Mahdokht Masaeli,Glenn Fung,Jennifer G. Dy,
https://icml.cc/Conferences/2010/papers/333.pdf
[96]. Risk minimization, probability elicitation, and cost-sensitive SVMs.
作者: Hamed Masnadi-Shirazi,Nuno Vasconcelos,
https://icml.cc/Conferences/2010/papers/376.pdf
[97]. Exploiting Data-Independence for Fast Belief-Propagation.
作者: Julian J. McAuley,Tibério S. Caetano,
https://icml.cc/Conferences/2010/papers/202.pdf
[98]. Metric Learning to Rank.
作者: Brian McFee,Gert R. G. Lanckriet,
https://icml.cc/Conferences/2010/papers/504.pdf
[99]. Learning Efficiently with Approximate Inference via Dual Losses.
作者: Ofer Meshi,David A. Sontag,Tommi S. Jaakkola,Amir Globerson,
https://icml.cc/Conferences/2010/papers/587.pdf
[100]. Deep Supervised t-Distributed Embedding.
作者: Martin Renqiang Min,Laurens van der Maaten,Zineng Yuan,Anthony J. Bonner,Zhaolei Zhang,
https://icml.cc/Conferences/2010/papers/149.pdf
[101]. Nonparametric Return Distribution Approximation for Reinforcement Learning.
作者: Tetsuro Morimura,Masashi Sugiyama,Hisashi Kashima,Hirotaka Hachiya,Toshiyuki Tanaka,
https://icml.cc/Conferences/2010/papers/652.pdf
[102]. Rectified Linear Units Improve Restricted Boltzmann Machines.
作者: Vinod Nair,Geoffrey E. Hinton,
https://icml.cc/Conferences/2010/papers/432.pdf
[103]. Implicit Regularization in Variational Bayesian Matrix Factorization.
作者: Shinichi Nakajima,Masashi Sugiyama,
https://icml.cc/Conferences/2010/papers/518.pdf
[104]. Estimation of (near) low-rank matrices with noise and high-dimensional scaling.
作者: Sahand N. Negahban,Martin J. Wainwright,
https://icml.cc/Conferences/2010/papers/195.pdf
[105]. Multiple Non-Redundant Spectral Clustering Views.
作者: Donglin Niu,Jennifer G. Dy,Michael I. Jordan,
https://icml.cc/Conferences/2010/papers/342.pdf
[106]. Multiagent Inductive Learning: an Argumentation-based Approach.
作者: Santiago Ontañón,Enric Plaza,
https://icml.cc/Conferences/2010/papers/284.pdf
[107]. A Stick-Breaking Construction of the Beta Process.
作者: John W. Paisley,Aimee K. Zaas,Christopher W. Woods,Geoffrey S. Ginsburg,Lawrence Carin,
https://icml.cc/Conferences/2010/papers/371.pdf
[108]. The Margin Perceptron with Unlearning.
作者: Constantinos Panagiotakopoulos,Petroula Tsampouka,
https://icml.cc/Conferences/2010/papers/176.pdf
[109]. Boosting for Regression Transfer.
作者: David Pardoe,Peter Stone,
https://icml.cc/Conferences/2010/papers/330.pdf
[110]. Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes.
作者: Marek Petrik,Gavin Taylor,Ronald Parr,Shlomo Zilberstein,
https://icml.cc/Conferences/2010/papers/52.pdf
[111]. Budgeted Distribution Learning of Belief Net Parameters.
作者: Liuyang Li,Barnabás Póczos,Csaba Szepesvári,Russell Greiner,
https://icml.cc/Conferences/2010/papers/406.pdf
[112]. Variable Selection in Model-Based Clustering: To Do or To Facilitate.
作者: Leonard K. M. Poon,Nevin Lianwen Zhang,Tao Chen,Yi Wang,
https://icml.cc/Conferences/2010/papers/26.pdf
[113]. Approximate Predictive Representations of Partially Observable Systems.
作者: Monica Dinculescu,Doina Precup,
https://icml.cc/Conferences/2010/papers/588.pdf
[114]. Spherical Topic Models.
作者: Joseph Reisinger,Austin Waters,Bryan Silverthorn,Raymond J. Mooney,
https://icml.cc/Conferences/2010/papers/45.pdf
[115]. SVM Classifier Estimation from Group Probabilities.
作者: Stefan Rüping,
https://icml.cc/Conferences/2010/papers/223.pdf
[116]. Clustering processes.
作者: Daniil Ryabko,
https://icml.cc/Conferences/2010/papers/279.pdf
[117]. Gaussian Process Change Point Models.
作者: Yunus Saatci,Ryan D. Turner,Carl Edward Rasmussen,
https://icml.cc/Conferences/2010/papers/170.pdf
[118]. Online Prediction with Privacy.
作者: Jun Sakuma,Hiromi Arai,
https://icml.cc/Conferences/2010/papers/259.pdf
[119]. Learning Deep Boltzmann Machines using Adaptive MCMC.
作者: Ruslan Salakhutdinov,
https://icml.cc/Conferences/2010/papers/441.pdf
[120]. Active Risk Estimation.
作者: Christoph Sawade,Niels Landwehr,Steffen Bickel,Tobias Scheffer,
https://icml.cc/Conferences/2010/papers/285.pdf
[121]. Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view.
作者: Bruno Scherrer,
https://icml.cc/Conferences/2010/papers/654.pdf
[122]. Gaussian Covariance and Scalable Variational Inference.
作者: Matthias W. Seeger,
https://icml.cc/Conferences/2010/papers/311.pdf
[123]. Application of Machine Learning To Epileptic Seizure Detection.
作者: Ali H. Shoeb,John V. Guttag,
https://icml.cc/Conferences/2010/papers/493.pdf
[124]. Learning optimally diverse rankings over large document collections.
作者: Aleksandrs Slivkins,Filip Radlinski,Sreenivas Gollapudi,
https://icml.cc/Conferences/2010/papers/446.pdf
[125]. Hilbert Space Embeddings of Hidden Markov Models.
作者: Le Song,Byron Boots,Sajid M. Siddiqi,Geoffrey J. Gordon,Alexander J. Smola,
https://icml.cc/Conferences/2010/papers/495.pdf
[126]. COFFIN: A Computational Framework for Linear SVMs.
作者: Sören Sonnenburg,Vojtech Franc,
https://icml.cc/Conferences/2010/papers/280.pdf
[127]. Internal Rewards Mitigate Agent Boundedness.
作者: Jonathan Sorg,Satinder P. Singh,Richard L. Lewis,
https://icml.cc/Conferences/2010/papers/442.pdf
[128]. Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.
作者: Niranjan Srinivas,Andreas Krause,Sham M. Kakade,Matthias W. Seeger,
https://icml.cc/Conferences/2010/papers/422.pdf
[129]. Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes.
作者: Zeeshan Syed,Ilan Rubinfeld,
https://icml.cc/Conferences/2010/papers/310.pdf
[130]. Model-based reinforcement learning with nearly tight exploration complexity bounds.
作者: Istvan Szita,Csaba Szepesvári,
https://icml.cc/Conferences/2010/papers/546.pdf
[131]. Total Variation, Cheeger Cuts.
作者: Arthur Szlam,Xavier Bresson,
https://icml.cc/Conferences/2010/papers/233.pdf
[132]. Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
作者: Mingkui Tan,Li Wang,Ivor W. Tsang,
https://icml.cc/Conferences/2010/papers/227.pdf
[133]. Deep networks for robust visual recognition.
作者: Yichuan Tang,Chris Eliasmith,
https://icml.cc/Conferences/2010/papers/370.pdf
[134]. A DC Programming Approach for Sparse Eigenvalue Problem.
作者: Mamadou Thiao,Pham Dinh Tao,Le Thi Hoai An,
https://icml.cc/Conferences/2010/papers/359.pdf
[135]. Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems.
作者: Christophe Thiery,Bruno Scherrer,
https://icml.cc/Conferences/2010/papers/336.pdf
[136]. An Analysis of the Convergence of Graph Laplacians.
作者: Daniel Ting,Ling Huang,Michael I. Jordan,
https://icml.cc/Conferences/2010/papers/554.pdf
[137]. A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.
作者: Ryota Tomioka,Taiji Suzuki,Masashi Sugiyama,Hisashi Kashima,
https://icml.cc/Conferences/2010/papers/556.pdf
[138]. One-sided Support Vector Regression for Multiclass Cost-sensitive Classification.
作者: Han-Hsing Tu,Hsuan-Tien Lin,
https://icml.cc/Conferences/2010/papers/207.pdf
[139]. Non-Local Contrastive Objectives.
作者: David Vickrey,Cliff Chiung-Yu Lin,Daphne Koller,
https://icml.cc/Conferences/2010/papers/592.pdf
[140]. The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data.
作者: Julia E. Vogt,Sandhya Prabhakaran,Thomas J. Fuchs,Volker Roth,
https://icml.cc/Conferences/2010/papers/248.pdf
[141]. Generalizing Apprenticeship Learning across Hypothesis Classes.
作者: Thomas J. Walsh,Kaushik Subramanian,Michael L. Littman,Carlos Diuk,
https://icml.cc/Conferences/2010/papers/475.pdf
[142]. Sequential Projection Learning for Hashing with Compact Codes.
作者: Jun Wang,Sanjiv Kumar,Shih-Fu Chang,
https://icml.cc/Conferences/2010/papers/178.pdf
[143]. A New Analysis of Co-Training.
作者: Wei Wang,Zhi-Hua Zhou,
https://icml.cc/Conferences/2010/papers/275.pdf
[144]. Multi-Class Pegasos on a Budget.
作者: Zhuang Wang,Koby Crammer,Slobodan Vucetic,
https://icml.cc/Conferences/2010/papers/569.pdf
[145]. The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.
作者: Sinead Williamson,Chong Wang,Katherine A. Heller,David M. Blei,
https://icml.cc/Conferences/2010/papers/397.pdf
[146]. Online Streaming Feature Selection.
作者: Xindong Wu,Kui Yu,Hao Wang,Wei Ding,
https://icml.cc/Conferences/2010/papers/238.pdf
[147]. Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration.
作者: Michael Wunder,Michael L. Littman,Monica Babes,
https://icml.cc/Conferences/2010/papers/191.pdf
[148]. Simple and Efficient Multiple Kernel Learning by Group Lasso.
作者: Zenglin Xu,Rong Jin,Haiqin Yang,Irwin King,Michael R. Lyu,
https://icml.cc/Conferences/2010/papers/540.pdf
[149]. Sparse Gaussian Process Regression via L1 Penalization.
作者: Feng Yan,Yuan (Alan) Qi,
https://icml.cc/Conferences/2010/papers/636.pdf
[150]. Online Learning for Group Lasso.
作者: Haiqin Yang,Zenglin Xu,Irwin King,Michael R. Lyu,
https://icml.cc/Conferences/2010/papers/473.pdf
[151]. Learning from Noisy Side Information by Generalized Maximum Entropy Model.
作者: Tianbao Yang,Rong Jin,Anil K. Jain,
https://icml.cc/Conferences/2010/papers/117.pdf
[152]. Convergence of Least Squares Temporal Difference Methods Under General Conditions.
作者: Huizhen Yu,
https://icml.cc/Conferences/2010/papers/187.pdf
[153]. Improved Local Coordinate Coding using Local Tangents.
作者: Kai Yu,Tong Zhang,
https://icml.cc/Conferences/2010/papers/454.pdf
[154]. Projection Penalties: Dimension Reduction without Loss.
作者: Yi Zhang,Jeff G. Schneider,
https://icml.cc/Conferences/2010/papers/481.pdf
[155]. OTL: A Framework of Online Transfer Learning.
作者: Peilin Zhao,Steven C. H. Hoi,
https://icml.cc/Conferences/2010/papers/219.pdf
[156]. Conditional Topic Random Fields.
作者: Jun Zhu,Eric P. Xing,
https://icml.cc/Conferences/2010/papers/420.pdf
[157]. Cognitive Models of Test-Item Effects in Human Category Learning.
作者: Xiaojin Zhu,Bryan R. Gibson,Kwang-Sung Jun,Timothy T. Rogers,Joseph Harrison,Chuck Kalish,
https://icml.cc/Conferences/2010/papers/468.pdf
[158]. Modeling Interaction via the Principle of Maximum Causal Entropy.
作者: Brian D. Ziebart,J. Andrew Bagnell,Anind K. Dey,
https://icml.cc/Conferences/2010/papers/28.pdf