作者：圖靈助手
[1]. Knowledge Representation Issues in Control Knowledge Learning.
作者: Ricardo Aler,Daniel Borrajo,Pedro Isasi,
連結: https://dblp.org/rec/conf/icml/AlerBI00.html
[2]. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers.
作者: Erin L. Allwein,Robert E. Schapire,Yoram Singer,
連結: https://dblp.org/rec/conf/icml/AllweinSS00.html
[3]. A Nonparametric Approach to Noisy and Costly Optimization.
作者: Brigham S. Anderson,Andrew W. Moore,David Cohn,
連結: https://dblp.org/rec/conf/icml/AndersonMC00.html
[4]. Behavioral Cloning of Student Pilots with Modular Neural Networks.
作者: Charles W. Anderson,Bruce A. Draper,David A. Peterson,
連結: https://dblp.org/rec/conf/icml/AndersonDP00.html
[5]. Combining Multiple Perspectives.
作者: Bikramjit Banerjee,Sandip Debnath,Sandip Sen,
連結: https://dblp.org/rec/conf/icml/BanerjeeDS00.html
[6]. Characterizing Model Erros and Differences.
作者: Stephen D. Bay,Michael J. Pazzani,
連結: https://dblp.org/rec/conf/icml/BayP00.html
[7]. Duality and Geometry in SVM Classifiers.
作者: Kristin P. Bennett,Erin J. Bredensteiner,
連結: https://dblp.org/rec/conf/icml/BennettB00.html
[8]. A Column Generation Algorithm For Boosting.
作者: Kristin P. Bennett,Ayhan Demiriz,John Shawe-Taylor,
連結: https://dblp.org/rec/conf/icml/BennetDS00.html
[9]. Disciple-COA: From Agent Programming to Agent Teaching.
作者: Mihai Boicu,Gheorghe Tecuci,Dorin Marcu,Michael Bowman,Ping Shyr,Florin Ciucu,Cristian Levcovici,
連結: https://dblp.org/rec/conf/icml/BoicuTMBSCL00.html
[10]. Classification of Individuals with Complex Structure.
作者: Antony Francis Bowers,Christophe G. Giraud-Carrier,John W. Lloyd,
連結: https://dblp.org/rec/conf/icml/BowersGL00.html
[11]. Convergence Problems of General-Sum Multiagent Reinforcement Learning.
作者: Michael H. Bowling,
連結: https://dblp.org/rec/conf/icml/Bowling00.html
[12]. Finding Variational Structure in Data by Cross-Entropy Optimization.
作者: Matthew Brand,
連結: https://dblp.org/rec/conf/icml/Brand00.html
[13]. Challenges of the Email Domain for Text Classification.
作者: Jake D. Brutlag,Christopher Meek,
連結: https://dblp.org/rec/conf/icml/BrutlagM00.html
[14]. Query Learning with Large Margin Classifiers.
作者: Colin Campbell,Nello Cristianini,Alexander J. Smola,
連結: https://dblp.org/rec/conf/icml/CampbellCS00.html
[15]. Dimension Reduction Techniques for Training Polynomial Networks.
作者: William M. Campbell,Kari Torkkola,Sreeream V. Balakrishnan,
連結: https://dblp.org/rec/conf/icml/CampbellTB00.html
[16]. Learning to Create Customized Authority Lists.
作者: Huan Chang,David Cohn,Andrew McCallum,
連結: https://dblp.org/rec/conf/icml/ChangCM00.html
[17]. Learning to Select Text Databases with Neural Nets.
作者: Yong S. Choi,Suk I. Yoo,
連結: https://dblp.org/rec/conf/icml/ChoiY00.html
[18]. A Divide and Conquer Approach to Learning from Prior Knowledge.
作者: Eric Chown,Thomas G. Dietterich,
連結: https://dblp.org/rec/conf/icml/ChownD00.html
[19]. Learning in Non-stationary Conditions: A Control Theoretic Approach.
作者: Jefferson A. Coelho Jr.,Roderic A. Grupen,
連結: https://dblp.org/rec/conf/icml/CoelhoG00.html
[20]. Automatically Extracting Features for Concept Learning from the Web.
作者: William W. Cohen,
連結: https://dblp.org/rec/conf/icml/Cohen00.html
[21]. Learning to Probabilistically Identify Authoritative Documents.
作者: David Cohn,Huan Chang,
連結: https://dblp.org/rec/conf/icml/CohnC00.html
[22]. Discriminative Reranking for Natural Language Parsing.
作者: Michael Collins,
連結: https://dblp.org/rec/conf/icml/Collins00.html
[23]. Automatic Identification of Mathematical Concepts.
作者: Simon Colton,Alan Bundy,Toby Walsh,
連結: https://dblp.org/rec/conf/icml/ColtonBW00.html
[24]. On-line Learning for Humanoid Robot Systems.
作者: Jörg Conradt,Gaurav Tevatia,Sethu Vijayakumar,Stefan Schaal,
連結: https://dblp.org/rec/conf/icml/ConradtTVS00.html
[25]. Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
作者: Mark W. Craven,David Page,Jude W. Shavlik,Joseph Bockhorst,Jeremy D. Glasner,
連結: https://dblp.org/rec/conf/icml/CravenPSBG00.html
[26]. Fixed Points of Approximate Value Iteration and Temporal-Difference Learning.
作者: Daniela Pucci de Farias,Benjamin Van Roy,
連結: https://dblp.org/rec/conf/icml/FariasR00.html
[27]. Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning.
作者: Gerald DeJong,
連結: https://dblp.org/rec/conf/icml/DeJong00.html
[28]. Bayesian Averaging of Classifiers and the Overfitting Problem.
作者: Pedro M. Domingos,
連結: https://dblp.org/rec/conf/icml/Domingos00.html
[29]. A Unifeid Bias-Variance Decomposition and its Applications.
作者: Pedro M. Domingos,
連結: https://dblp.org/rec/conf/icml/Domingos00a.html
[30]. Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria.
作者: Chris Drummond,Robert C. Holte,
連結: https://dblp.org/rec/conf/icml/DrummondH00.html
[31]. Feature Subset Selection and Order Identification for Unsupervised Learning.
作者: Jennifer G. Dy,Carla E. Brodley,
連結: https://dblp.org/rec/conf/icml/DyB00.html
[32]. Anomaly Detection over Noisy Data using Learned Probability Distributions.
作者: Eleazar Eskin,
連結: https://dblp.org/rec/conf/icml/Eskin00.html
[33]. Ideal Theory Refinement under Object Identity.
作者: Floriana Esposito,Nicola Fanizzi,Stefano Ferilli,Giovanni Semeraro,
連結: https://dblp.org/rec/conf/icml/EspositoFFS00.html
[34]. Bounds on the Generalization Performance of Kernel Machine Ensembles.
作者: Theodoros Evgeniou,Luis Pérez-Breva,Massimiliano Pontil,Tomaso A. Poggio,
連結: https://dblp.org/rec/conf/icml/EvgeniouPPP00.html
[35]. Online Ensemble Learning: An Empirical Study.
作者: Alan Fern,Robert Givan,
連結: https://dblp.org/rec/conf/icml/FernG00.html
[36]. Learning Subjective Functions with Large Margins.
作者: Claude-Nicolas Fiechter,Seth Rogers,
連結: https://dblp.org/rec/conf/icml/FiechterR00.html
[37]. Relative Loss Bounds for Temporal-Difference Learning.
作者: Jürgen Forster,Manfred K. Warmuth,
連結: https://dblp.org/rec/conf/icml/ForsterW00.html
[38]. Using Error-Correcting Codes for Text Classification.
作者: Rayid Ghani,
連結: https://dblp.org/rec/conf/icml/Ghani00.html
[39]. Analyzing Relational Learning in the Phase Transition Framework.
作者: Attilio Giordana,Lorenza Saitta,Michèle Sebag,Marco Botta,
連結: https://dblp.org/rec/conf/icml/GiordanaSSB00.html
[40]. Learning Multiple Models for Reward Maximization.
作者: Dani Goldberg,Maja J. Mataric,
連結: https://dblp.org/rec/conf/icml/GoldbergM00.html
[41]. Enhancing Supervised Learning with Unlabeled Data.
作者: Sally A. Goldman,Yan Zhou,
連結: https://dblp.org/rec/conf/icml/GoldmanZ00.html
[42]. Learning Filaments.
作者: Geoffrey J. Gordon,Andrew W. Moore,
連結: https://dblp.org/rec/conf/icml/GordonM00.html
[43]. Localizing Policy Gradient Estimates to Action Transition.
作者: Gregory Z. Grudic,Lyle H. Ungar,
連結: https://dblp.org/rec/conf/icml/GrudicU00.html
[44]. Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval.
作者: Keith B. Hall,Thomas Hofmann,
連結: https://dblp.org/rec/conf/icml/HallH00.html
[45]. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning.
作者: Mark A. Hall,
連結: https://dblp.org/rec/conf/icml/Hall00.html
[46]. Empirical Bayes for Learning to Learn.
作者: Tom Heskes,
連結: https://dblp.org/rec/conf/icml/Heskes00.html
[47]. Meta-Learning for Phonemic Annotation of Corpora.
作者: Véronique Hoste,Walter Daelemans,Erik F. Tjong Kim Sang,Steven Gillis,
連結: https://dblp.org/rec/conf/icml/HosteDSG00.html
[48]. An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control.
作者: Dean F. Hougen,Maria L. Gini,James R. Slagle,
連結: https://dblp.org/rec/conf/icml/HougenGS00.html
[49]. Data as Ensembles of Records: Representation and Comparison.
作者: Nicholas R. Howe,
連結: https://dblp.org/rec/conf/icml/Howe00.html
[50]. Why Discretization Works for Naive Bayesian Classifiers.
作者: Chun-Nan Hsu,Hung-Ju Huang,Tzu-Tsung Wong,
連結: https://dblp.org/rec/conf/icml/HsuHW00.html
[51]. Experimental Results on Q-Learning for General-Sum Stochastic Games.
作者: Junling Hu,Michael P. Wellman,
連結: https://dblp.org/rec/conf/icml/HuW00.html
[52]. Learning Declarative Control Rules for Constraint-BAsed Planning.
作者: Yi-Cheng Huang,Bart Selman,Henry A. Kautz,
連結: https://dblp.org/rec/conf/icml/HuangSK00.html
[53]. Approximate Dimension Equalization in Vector-based Information Retrieval.
作者: Fan Jiang,Michael L. Littman,
連結: https://dblp.org/rec/conf/icml/JiangL00.html
[54]. Estimating the Generalization Performance of an SVM Efficiently.
作者: Thorsten Joachims,
連結: https://dblp.org/rec/conf/icml/Joachims00.html
[55]. State-based Classification of Finger Gestures from Electromyographic Signals.
作者: Peter Ju,Leslie Pack Kaelbling,Yoram Singer,
連結: https://dblp.org/rec/conf/icml/JuKS00.html
[56]. A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions.
作者: Susumu Katayama,Hajime Kimura,Shigenobu Kobayashi,
連結: https://dblp.org/rec/conf/icml/KatayamaKK00.html
[57]. Pseudo-convergent Q-Learning by Competitive Pricebots.
作者: Jeffrey O. Kephart,Gerald Tesauro,
連結: https://dblp.org/rec/conf/icml/KephartT00.html
[58]. Learning Horn Expressions with LogAn-H.
作者: Roni Khardon,
連結: https://dblp.org/rec/conf/icml/Khardon00.html
[59]. Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets.
作者: Zu Whan Kim,Ramakant Nevatia,
連結: https://dblp.org/rec/conf/icml/KimN00.html
[60]. Detecting Concept Drift with Support Vector Machines.
作者: Ralf Klinkenberg,Thorsten Joachims,
連結: https://dblp.org/rec/conf/icml/KlinkenbergJ00.html
[61]. A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets.
作者: Paul Komarek,Andrew W. Moore,
連結: https://dblp.org/rec/conf/icml/KomarekM00.html
[62]. Voting Nearest-Neighbor Subclassifiers.
作者: Miroslav Kubat,Martin Cooperson Jr.,
連結: https://dblp.org/rec/conf/icml/KubatC00.html
[63]. Algorithm Selection using Reinforcement Learning.
作者: Michail G. Lagoudakis,Michael L. Littman,
連結: https://dblp.org/rec/conf/icml/LagoudakisL00.html
[64]. Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data.
作者: Terran Lane,Carla E. Brodley,
連結: https://dblp.org/rec/conf/icml/LaneB00.html
[65]. Version Space Algebra and its Application to Programming by Demonstration.
作者: Tessa A. Lau,Pedro M. Domingos,Daniel S. Weld,
連結: https://dblp.org/rec/conf/icml/LauDW00.html
[66]. An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems.
作者: Martin Lauer,Martin A. Riedmiller,
連結: https://dblp.org/rec/conf/icml/LauerR00.html
[67]. A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models.
作者: Cen Li,Gautam Biswas,
連結: https://dblp.org/rec/conf/icml/LiB00.html
[68]. The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms.
作者: Jinyan Li,Kotagiri Ramamohanarao,Guozhu Dong,
連結: https://dblp.org/rec/conf/icml/LiRD00.html
[69]. Selective Voting for Perception-like Online Learning.
作者: Yi Li,
連結: https://dblp.org/rec/conf/icml/Li00.html
[70]. An Initial Study of an Adaptive Hierarchical Vision System.
作者: Marcus A. Maloof,
連結: https://dblp.org/rec/conf/icml/Maloof00.html
[71]. Efficient Mining from Large Databases by Query Learning.
作者: Hiroshi Mamitsuka,Naoki Abe,
連結: https://dblp.org/rec/conf/icml/MamitsukaA00.html
[72]. Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers.
作者: Dragos D. Margineantu,Thomas G. Dietterich,
連結: https://dblp.org/rec/conf/icml/MargineantuD00.html
[73]. Maximum Entropy Markov Models for Information Extraction and Segmentation.
作者: Andrew McCallum,Dayne Freitag,Fernando C. N. Pereira,
連結: https://dblp.org/rec/conf/icml/McCallumFP00.html
[74]. Mixtures of Factor Analyzers.
作者: Geoffrey J. McLachlan,David Peel,
連結: https://dblp.org/rec/conf/icml/McLachlanP00.html
[75]. "Boosting' a Positive-Data-Only Learner.
作者: Andrew R. Mitchell,
連結: https://dblp.org/rec/conf/icml/Mitchell00.html
[76]. Machine Learning for Subproblem Selection.
作者: Robert Moll,Theodore J. Perkins,Andrew G. Barto,
連結: https://dblp.org/rec/conf/icml/MollPB00.html
[77]. Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning.
作者: Jun Morimoto,Kenji Doya,
連結: https://dblp.org/rec/conf/icml/MorimotoD00.html
[78]. Learning Chomsky-like Grammars for Biological Sequence Families.
作者: Stephen Muggleton,Christopher H. Bryant,Ashwin Srinivasan,
連結: https://dblp.org/rec/conf/icml/MuggletonBS00.html
[79]. Complete Cross-Validation for Nearest Neighbor Classifiers.
作者: Matthew D. Mullin,Rahul Sukthankar,
連結: https://dblp.org/rec/conf/icml/MullinS00.html
[80]. Rates of Convergence for Variable Resolution Schemes in Optimal Control.
作者: Rémi Munos,Andrew W. Moore,
連結: https://dblp.org/rec/conf/icml/MunosM00.html
[81]. A Boosting Approach to Topic Spotting on Subdialogues.
作者: Kary L. Myers,Michael J. Kearns,Satinder P. Singh,Marilyn A. Walker,
連結: https://dblp.org/rec/conf/icml/MyersKSW00.html
[82]. Algorithms for Inverse Reinforcement Learning.
作者: Andrew Y. Ng,Stuart J. Russell,
連結: https://dblp.org/rec/conf/icml/NgR00.html
[83]. Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots.
作者: Daniel Nikovski,Illah R. Nourbakhsh,
連結: https://dblp.org/rec/conf/icml/NikovskiN00.html
[84]. An Approach to Data Reduction and Clustering with Theoretical Guarantees.
作者: Partha Niyogi,Narendra Karmarkar,
連結: https://dblp.org/rec/conf/icml/NiyogiK00.html
[85]. Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse.
作者: Tadashi Nomoto,Yuji Matsumoto,
連結: https://dblp.org/rec/conf/icml/NomotoM00.html
[86]. Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.
作者: Seishi Okamoto,Nobuhiro Yugami,
連結: https://dblp.org/rec/conf/icml/OkamotoY00.html
[87]. Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.
作者: Alberto Paccanaro,Geoffrey E. Hinton,
連結: https://dblp.org/rec/conf/icml/PaccanaroH00.html
[88]. Clustering the Users of Large Web Sites into Communities.
作者: Georgios Paliouras,Christos Papatheodorou,Vangelis Karkaletsis,Constantine D. Spyropoulos,
連結: https://dblp.org/rec/conf/icml/PaliourasPKS00.html
[89]. X-means: Extending K-means with Efficient Estimation of the Number of Clusters.
作者: Dan Pelleg,Andrew W. Moore,
連結: https://dblp.org/rec/conf/icml/PellegM00.html
[90]. A Normative Examination of Ensemble Learning Algorithms.
作者: David M. Pennock,Pedrito Maynard-Reid II,C. Lee Giles,Eric Horvitz,
連結: https://dblp.org/rec/conf/icml/PennockMGH00.html
[91]. Meta-Learning by Landmarking Various Learning Algorithms.
作者: Bernhard Pfahringer,Hilan Bensusan,Christophe G. Giraud-Carrier,
連結: https://dblp.org/rec/conf/icml/PfahringerBG00.html
[92]. Constructive Feature Learning and the Development of Visual Expertise.
作者: Justus H. Piater,Roderic A. Grupen,
連結: https://dblp.org/rec/conf/icml/PiaterG00.html
[93]. Eligibility Traces for Off-Policy Policy Evaluation.
作者: Doina Precup,Richard S. Sutton,Satinder P. Singh,
連結: https://dblp.org/rec/conf/icml/PrecupSS00.html
[94]. Shaping in Reinforcement Learning by Changing the Physics of the Problem.
作者: Jette Randløv,
連結: https://dblp.org/rec/conf/icml/Randlov00.html
[95]. Combining Reinforcement Learning with a Local Control Algorithm.
作者: Jette Randløv,Andrew G. Barto,Michael T. Rosenstein,
連結: https://dblp.org/rec/conf/icml/RandlovBR00.html
[96]. Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning.
作者: Stuart I. Reynolds,
連結: https://dblp.org/rec/conf/icml/Reynolds00.html
[97]. Knowledge Propagation in Model-based Reinforcement Learning Tasks.
作者: Corinna Richter,Jörg Stachowiak,
連結: https://dblp.org/rec/conf/icml/RichterS00.html
[98]. Image Color Constancy Using EM and Cached Statistics.
作者: Charles R. Rosenberg,
連結: https://dblp.org/rec/conf/icml/Rosenberg00.html
[99]. Learning to Fly: An Application of Hierarchical Reinforcement Learning.
作者: Malcolm R. K. Ryan,Mark D. Reid,
連結: https://dblp.org/rec/conf/icml/RyanR00.html
[100]. Direct Bayes Point Machines.
作者: Matthias Rychetsky,John Shawe-Taylor,Manfred Glesner,
連結: https://dblp.org/rec/conf/icml/RychetskySG00.html
[101]. Achieving Efficient and Cognitively Plausible Learning in Backgammon.
作者: Scott Sanner,John R. Anderson,Christian Lebiere,Marsha C. Lovett,
連結: https://dblp.org/rec/conf/icml/SannerALL00.html
[102]. Predicting the Generalization Performance of Cross Validatory Model Selection Criteria.
作者: Tobias Scheffer,
連結: https://dblp.org/rec/conf/icml/Scheffer00.html
[103]. Less is More: Active Learning with Support Vector Machines.
作者: Greg Schohn,David Cohn,
連結: https://dblp.org/rec/conf/icml/SchohnC00.html
[104]. An Adaptive Regularization Criterion for Supervised Learning.
作者: Dale Schuurmans,Finnegan Southey,
連結: https://dblp.org/rec/conf/icml/SchuurmansS00.html
[105]. Instance Pruning as an Information Preserving Problem.
作者: Marc Sebban,Richard Nock,
連結: https://dblp.org/rec/conf/icml/SebbanN00.html
[106]. Incremental Learning in SwiftFile.
作者: Richard Segal,Jeffrey O. Kephart,
連結: https://dblp.org/rec/conf/icml/SegalK00.html
[107]. Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning.
作者: Thomas R. Shultz,François Rivest,
連結: https://dblp.org/rec/conf/icml/ShultzR00.html
[108]. Obtaining Simplified Rule Bases by Hybrid Learning.
作者: Ricardo Bezerra de Andrade e Silva,Teresa Bernarda Ludermir,
連結: https://dblp.org/rec/conf/icml/SilvaL00.html
[109]. Learning to Predict Performance from Formula Modeling and Training Data.
作者: Bryan Singer,Manuela M. Veloso,
連結: https://dblp.org/rec/conf/icml/SingerV00.html
[110]. Discovering Test Set Regularities in Relational Domains.
作者: Seán Slattery,Tom M. Mitchell,
連結: https://dblp.org/rec/conf/icml/SlatteryM00.html
[111]. Practical Reinforcement Learning in Continuous Spaces.
作者: William D. Smart,Leslie Pack Kaelbling,
連結: https://dblp.org/rec/conf/icml/SmartK00.html
[112]. Sparse Greedy Matrix Approximation for Machine Learning.
作者: Alexander J. Smola,Bernhard Schölkopf,
連結: https://dblp.org/rec/conf/icml/SmolaS00.html
[113]. Using Learning by Discovery to Segment Remotely Sensed Images.
作者: Leen-Kiat Soh,Costas Tsatsoulis,
連結: https://dblp.org/rec/conf/icml/SohT00.html
[114]. Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions.
作者: Manu Sridharan,Gerald Tesauro,
連結: https://dblp.org/rec/conf/icml/SridharanT00.html
[115]. TPOT-RL Applied to Network Routing.
作者: Peter Stone,
連結: https://dblp.org/rec/conf/icml/Stone00.html
[116]. A Bayesian Framework for Reinforcement Learning.
作者: Malcolm J. A. Strens,
連結: https://dblp.org/rec/conf/icml/Strens00.html
[117]. Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies.
作者: Luis Talavera,
連結: https://dblp.org/rec/conf/icml/Talavera00.html
[118]. Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement.
作者: Astro Teller,Manuela M. Veloso,
連結: https://dblp.org/rec/conf/icml/TellerV00.html
[119]. Selection of Support Vector Kernel Parameters for Improved Generalization.
作者: Loo-Nin Teow,Kia-Fock Loe,
連結: https://dblp.org/rec/conf/icml/TeowL00.html
[120]. Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality.
作者: Franck Thollard,Pierre Dupont,Colin de la Higuera,
連結: https://dblp.org/rec/conf/icml/ThollardDH00.html
[121]. A Comparative Study of Cost-Sensitive Boosting Algorithms.
作者: Kai Ming Ting,
連結: https://dblp.org/rec/conf/icml/Ting00.html
[122]. Discovering the Structure of Partial Differential Equations from Example Behaviour.
作者: Ljupco Todorovski,Saso Dzeroski,Ashwin Srinivasan,Jonathan P. Whiteley,David Gavaghan,
連結: https://dblp.org/rec/conf/icml/TodorovskiDSWG00.html
[123]. Support Vector Machine Active Learning with Application sto Text Classification.
作者: Simon Tong,Daphne Koller,
連結: https://dblp.org/rec/conf/icml/TongK00.html
[124]. Partial Linear Trees.
作者: Luís Torgo,
連結: https://dblp.org/rec/conf/icml/Torgo00.html
[125]. Mutual Information in Learning Feature Transformations.
作者: Kari Torkkola,William M. Campbell,
連結: https://dblp.org/rec/conf/icml/TorkkolaC00.html
[126]. Local Expert Autoassociators for Anomaly Detection.
作者: Geoffrey G. Towell,
連結: https://dblp.org/rec/conf/icml/Towell00.html
[127]. Learning Priorities From Noisy Examples.
作者: Geoffrey G. Towell,Thomas Petsche,Michael R. Miller,
連結: https://dblp.org/rec/conf/icml/TowellPM00.html
[128]. Hierarchical Unsupervised Learning.
作者: Shivakumar Vaithyanathan,Byron Dom,
連結: https://dblp.org/rec/conf/icml/VaithyanathanD00.html
[129]. Model Selection Criteria for Learning Belief Nets: An Empirical Comparison.
作者: Tim Van Allen,Russell Greiner,
連結: https://dblp.org/rec/conf/icml/AllenG00.html
[130]. Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning.
作者: Antal van den Bosch,Jakub Zavrel,
連結: https://dblp.org/rec/conf/icml/BoschZ00.html
[131]. Bootstrapping Syntax and Recursion using Alginment-Based Learning.
作者: Menno van Zaanen,
連結: https://dblp.org/rec/conf/icml/Zaanen00.html
[132]. An Evolutionary Approach to Evidence-Based Learning of Deterministic Finite Automata.
作者: Stefan Veeser,
連結: https://dblp.org/rec/conf/icml/Veeser00.html
[133]. Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.
作者: Sethu Vijayakumar,Stefan Schaal,
連結: https://dblp.org/rec/conf/icml/VijayakumarS00.html
[134]. A Quantification of Distance Bias Between Evaluation Metrics In Classification.
作者: Ricardo Vilalta,Daniel Oblinger,
連結: https://dblp.org/rec/conf/icml/VilaltaO00.html
[135]. Discovering Homogeneous Regions in Spatial Data through Competition.
作者: Slobodan Vucetic,Zoran Obradovic,
連結: https://dblp.org/rec/conf/icml/VuceticO00.html
[136]. Clustering with Instance-level Constraints.
作者: Kiri Wagstaff,Claire Cardie,
連結: https://dblp.org/rec/conf/icml/WagstaffC00.html
[137]. Using Natural Language Processing and discourse Features to Identify Understanding Errors.
作者: Marilyn A. Walker,Jeremy H. Wright,Irene Langkilde,
連結: https://dblp.org/rec/conf/icml/WalkerWL00.html
[138]. Solving the Multiple-Instance Problem: A Lazy Learning Approach.
作者: Jun Wang,Jean-Daniel Zucker,
連結: https://dblp.org/rec/conf/icml/WnagZ00.html
[139]. Enhancing the Plausibility of Law Equation Discovery.
作者: Takashi Washio,Hiroshi Motoda,Yuji Niwa,
連結: https://dblp.org/rec/conf/icml/WashioMN00.html
[140]. Lightweight Rule Induction.
作者: Sholom M. Weiss,Nitin Indurkhya,
連結: https://dblp.org/rec/conf/icml/WeissI00.html
[141]. Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination.
作者: Machiel Westerdijk,Wim Wiegerinck,
連結: https://dblp.org/rec/conf/icml/WesterdijkW00.html
[142]. Multi-Agent Reinforcement Leraning for Traffic Light Control.
作者: Marco A. Wiering,
連結: https://dblp.org/rec/conf/icml/Wiering00.html
[143]. The Effect of the Input Density Distribution on Kernel-based Classifiers.
作者: Christopher K. I. Williams,Matthias W. Seeger,
連結: https://dblp.org/rec/conf/icml/WilliamsS00.html
[144]. Combining Multiple Learning Strategies for Effective Cross Validation.
作者: Yiming Yang,Tom Ault,Thomas Pierce,
連結: https://dblp.org/rec/conf/icml/YangAP00.html
[145]. Linear Discriminant Trees.
作者: Olcay Taner Yildiz,Ethem Alpaydin,
連結: https://dblp.org/rec/conf/icml/YildizA00.html
[146]. Improving Short-Text Classification using Unlabeled Data for Classification Problems.
作者: Sarah Zelikovitz,Haym Hirsh,
連結: https://dblp.org/rec/conf/icml/ZelikovitzH00.html
[147]. Induction of Concept Hierarchies from Noisy Data.
作者: Blaz Zupan,Ivan Bratko,Marko Bohanec,Janez Demsar,
連結: https://dblp.org/rec/conf/icml/ZupanBBD00.html
[148]. Crafting Papers on Machine Learning.
作者: Pat Langley,
連結: https://dblp.org/rec/conf/icml/Langley00.html