[1]. Scalable Internal-State Policy-Gradient Methods for POMDPs.

作者: Douglas Aberdeen,Jonathan Baxter,

链接: https://dblp.org/rec/conf/icml/AberdeenB02.html

[2]. Feature Subset Selection and Inductive Logic Programming.

作者: Érick Alphonse,Stan Matwin,

链接: https://dblp.org/rec/conf/icml/AlphonseM02.html

[3]. Pruning Improves Heuristic Search for Cost-Sensitive Learning.

作者: Valentina Bayer Zubek,Thomas G. Dietterich,

链接: https://dblp.org/rec/conf/icml/ZubekD02.html

[4]. Semi-supervised Clustering by Seeding.

作者: Sugato Basu,Arindam Banerjee,Raymond J. Mooney,

链接: https://dblp.org/rec/conf/icml/BasuBM02.html

[5]. Constraint-based Learning of Long Relational Concepts.

作者: Jacques Ales Bianchetti,Céline Rouveirol,Michèle Sebag,

链接: https://dblp.org/rec/conf/icml/BianchettiRS02.html

[6]. Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.

作者: Joseph Bockhorst,Mark Craven,

链接: https://dblp.org/rec/conf/icml/BockhorstC02.html

[7]. An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes.

作者: Blai Bonet,

链接: https://dblp.org/rec/conf/icml/Bonet02.html

[8]. Transformation-Based Regression.

作者: Björn Bringmann,Stefan Kramer,Friedrich Neubarth,Hannes Pirker,Gerhard Widmer,

链接: https://dblp.org/rec/conf/icml/BringmannKNPW02.html

[9]. A New Statistical Approach to Personal Name Extraction.

作者: Zheng Chen,Liu Wenyin,Feng Zhang,

链接: https://dblp.org/rec/conf/icml/ChenWZ02.html

[10]. Learning Decision Rules by Randomized Iterative Local Search.

作者: Michael Chisholm,Prasad Tadepalli,

链接: https://dblp.org/rec/conf/icml/ChisholmT02.html

[11]. IEMS - The Intelligent Email Sorter.

作者: Elisabeth Crawford,Judy Kay,Eric McCreath,

链接: https://dblp.org/rec/conf/icml/CrawfordKM02.html

[12]. Exact model averaging with naive Bayesian classifiers.

作者: Denver Dash,Gregory F. Cooper,

链接: https://dblp.org/rec/conf/icml/DashC02.html

[13]. Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry.

作者: Dennis DeCoste,

链接: https://dblp.org/rec/conf/icml/DeCoste02.html

[14]. Action Refinement in Reinforcement Learning by Probability Smoothing.

作者: Thomas G. Dietterich,Dídac Busquets,Ramón López de Mántaras,Carles Sierra,

链接: https://dblp.org/rec/conf/icml/DietterichBMS02.html

[15]. Integrating Experimentation and Guidance in Relational Reinforcement Learning.

作者: Kurt Driessens,Saso Dzeroski,

链接: https://dblp.org/rec/conf/icml/DriessensD02.html

[16]. Is Combining Classifiers Better than Selecting the Best One.

作者: Saso Dzeroski,Bernard Zenko,

链接: https://dblp.org/rec/conf/icml/DzeroskiZ02.html

[17]. Fast Minimum Training Error Discretization.

作者: Tapio Elomaa,Juho Rousu,

链接: https://dblp.org/rec/conf/icml/ElomaaR02.html

[18]. Learning Decision Trees Using the Area Under the ROC Curve.

作者: César Ferri,Peter A. Flach,José Hernández-Orallo,

链接: https://dblp.org/rec/conf/icml/FerriFH02.html

[19]. Univariate Polynomial Inference by Monte Carlo Message Length Approximation.

作者: Leigh J. Fitzgibbon,David L. Dowe,Lloyd Allison,

链接: https://dblp.org/rec/conf/icml/FitzgibbonDA02.html

[20]. An Analysis of Functional Trees.

作者: João Gama,

链接: https://dblp.org/rec/conf/icml/Gama02.html

[21]. Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.

作者: Dragan Gamberger,Nada Lavrac,

链接: https://dblp.org/rec/conf/icml/GambergerL02.html

[22]. On generalization bounds, projection profile, and margin distribution.

作者: Ashutosh Garg,Sariel Har-Peled,Dan Roth,

链接: https://dblp.org/rec/conf/icml/GargHR02.html

[23]. Multi-Instance Kernels.

作者: Thomas Gärtner,Peter A. Flach,Adam Kowalczyk,Alexander J. Smola,

链接: https://dblp.org/rec/conf/icml/GartnerFKS02.html

[24]. Combining Labeled and Unlabeled Data for MultiClass Text Categorization.

作者: Rayid Ghani,

链接: https://dblp.org/rec/conf/icml/Ghani02.html

[25]. Hierarchically Optimal Average Reward Reinforcement Learning.

作者: Mohammad Ghavamzadeh,Sridhar Mahadevan,

链接: https://dblp.org/rec/conf/icml/GhavamzadehM02.html

[26]. Sufficient Dimensionality Reduction - A novel Analysis Method.

作者: Amir Globerson,Naftali Tishby,

链接: https://dblp.org/rec/conf/icml/GlobersonT02.html

[27]. A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance.

作者: Michael Goebel,Patricia J. Riddle,Mike Barley,

链接: https://dblp.org/rec/conf/icml/GoebelRB02.html

[28]. Graph-Based Relational Concept Learning.

作者: Jesus A. Gonzalez,Lawrence B. Holder,Diane J. Cook,

链接: https://dblp.org/rec/conf/icml/GonzalezHC02.html

[29]. Coordinated Reinforcement Learning.

作者: Carlos Guestrin,Michail G. Lagoudakis,Ronald Parr,

链接: https://dblp.org/rec/conf/icml/GuestrinLP02.html

[30]. Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs.

作者: Carlos Guestrin,Relu Patrascu,Dale Schuurmans,

链接: https://dblp.org/rec/conf/icml/GuestrinPS02.html

[31]. Discovering Hierarchy in Reinforcement Learning with HEXQ.

作者: Bernhard Hengst,

链接: https://dblp.org/rec/conf/icml/Hengst02.html

[32]. Classification Value Grouping.

作者: Colin K. M. Ho,

链接: https://dblp.org/rec/conf/icml/Ho02.html

[33]. Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning.

作者: David D. Jensen,Jennifer Neville,

链接: https://dblp.org/rec/conf/icml/JensenN02.html

[34]. Approximately Optimal Approximate Reinforcement Learning.

作者: Sham M. Kakade,John Langford,

链接: https://dblp.org/rec/conf/icml/KakadeL02.html

[35]. An Alternate Objective Function for Markovian Fields.

作者: Sham M. Kakade,Yee Whye Teh,Sam T. Roweis,

链接: https://dblp.org/rec/conf/icml/KakadeTR02.html

[36]. Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach.

作者: Sepandar D. Kamvar,Dan Klein,Christopher D. Manning,

链接: https://dblp.org/rec/conf/icml/KamvarKM02.html

[37]. Kernels for Semi-Structured Data.

作者: Hisashi Kashima,Teruo Koyanagi,

链接: https://dblp.org/rec/conf/icml/KashimaK02.html

[38]. A Fast Dual Algorithm for Kernel Logistic Regression.

作者: S. Sathiya Keerthi,Kaibo Duan,Shirish K. Shevade,Aun Neow Poo,

链接: https://dblp.org/rec/conf/icml/KeerthiDSP02.html

[39]. From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering.

作者: Dan Klein,Sepandar D. Kamvar,Christopher D. Manning,

链接: https://dblp.org/rec/conf/icml/KleinKM02.html

[40]. Diffusion Kernels on Graphs and Other Discrete Input Spaces.

作者: Risi Kondor,John D. Lafferty,

链接: https://dblp.org/rec/conf/icml/KondorL02.html

[41]. Learning the Kernel Matrix with Semi-Definite Programming.

作者: Gert R. G. Lanckriet,Nello Cristianini,Peter L. Bartlett,Laurent El Ghaoui,Michael I. Jordan,

链接: https://dblp.org/rec/conf/icml/LanckrietCBGJ02.html

[42]. Combining Trainig Set and Test Set Bounds.

作者: John Langford,

链接: https://dblp.org/rec/conf/icml/Langford02.html

[43]. Competitive Analysis of the Explore/Exploit Tradeoff.

作者: John Langford,Martin Zinkevich,Sham M. Kakade,

链接: https://dblp.org/rec/conf/icml/LangfordZK02.html

[44]. Inducing Process Models from Continuous Data.

作者: Pat Langley,Javier Nicolás Sánchez,Ljupco Todorovski,Saso Dzeroski,

链接: https://dblp.org/rec/conf/icml/LangleySTD02.html

[45]. Reinforcement Learning and Shaping: Encouraging Intended Behaviors.

作者: Adam Laud,Gerald DeJong,

链接: https://dblp.org/rec/conf/icml/LaudD02.html

[46]. Cranking: Combining Rankings Using Conditional Probability Models on Permutations.

作者: Guy Lebanon,John D. Lafferty,

链接: https://dblp.org/rec/conf/icml/LebanonL02.html

[47]. Learning to Share Distributed Probabilistic Beliefs.

作者: Christopher Leckie,Kotagiri Ramamohanarao,

链接: https://dblp.org/rec/conf/icml/LeckieR02.html

[48]. The Perceptron Algorithm with Uneven Margins.

作者: Yaoyong Li,Hugo Zaragoza,Ralf Herbrich,John Shawe-Taylor,Jaz S. Kandola,

链接: https://dblp.org/rec/conf/icml/LiZHSK02.html

[49]. Partially Supervised Classification of Text Documents.

作者: Bing Liu,Wee Sun Lee,Philip S. Yu,Xiaoli Li,

链接: https://dblp.org/rec/conf/icml/LiuLYL02.html

[50]. Feature Selection with Selective Sampling.

作者: Huan Liu,Hiroshi Motoda,Lei Yu,

链接: https://dblp.org/rec/conf/icml/LiuMY02.html

[51]. Investigating the Maximum Likelihood Alternative to TD(lambda).

作者: Fletcher Lu,Relu Patrascu,Dale Schuurmans,

链接: https://dblp.org/rec/conf/icml/LuPS02.html

[52]. A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation.

作者: Artur Merke,Ralf Schoknecht,

链接: https://dblp.org/rec/conf/icml/MerkeS02.html

[53]. Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training.

作者: Carsten Meyer,Peter Beyerlein,

链接: https://dblp.org/rec/conf/icml/MeyerB02.html

[54]. Learning word normalization using word suffix and context from unlabeled data.

作者: Dunja Mladenic,

链接: https://dblp.org/rec/conf/icml/Mladenic02.html

[55]. Active + Semi-supervised Learning = Robust Multi-View Learning.

作者: Ion Muslea,Steven Minton,Craig A. Knoblock,

链接: https://dblp.org/rec/conf/icml/MusleaMK02.html

[56]. Adaptive View Validation: A First Step Towards Automatic View Detection.

作者: Ion Muslea,Steven Minton,Craig A. Knoblock,

链接: https://dblp.org/rec/conf/icml/MusleaMK02a.html

[57]. Stock Trading System Using Reinforcement Learning with Cooperative Agents.

作者: Jangmin O,Jae Won Lee,Byoung-Tak Zhang,

链接: https://dblp.org/rec/conf/icml/OLZ02.html

[58]. Learning k-Reversible Context-Free Grammars from Positive Structural Examples.

作者: Tim Oates,Devina Desai,Vinay Bhat,

链接: https://dblp.org/rec/conf/icml/OatesDB02.html

[59]. MMIHMM: Maximum Mutual Information Hidden Markov Models.

作者: Nuria Oliver,Ashutosh Garg,

链接: https://dblp.org/rec/conf/icml/OliverG02.html

[60]. Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World.

作者: Anand Panangadan,Michael G. Dyer,

链接: https://dblp.org/rec/conf/icml/PanangadanD02.html

[61]. A Boosted Maximum Entropy Model for Learning Text Chunking.

作者: Seong-Bae Park,Byoung-Tak Zhang,

链接: https://dblp.org/rec/conf/icml/ParkZ02.html

[62]. On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains.

作者: Theodore J. Perkins,Mark D. Pendrith,

链接: https://dblp.org/rec/conf/icml/PerkinsP02.html

[63]. Learning from Scarce Experience.

作者: Leonid Peshkin,Christian R. Shelton,

链接: https://dblp.org/rec/conf/icml/PeshkinS02.html

[64]. PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning.

作者: Marc Pickett,Andrew G. Barto,

链接: https://dblp.org/rec/conf/icml/PickettB02.html

[65]. Using Unlabelled Data for Text Classification through Addition of Cluster Parameters.

作者: Bhavani Raskutti,Herman L. Ferrá,Adam Kowalczyk,

链接: https://dblp.org/rec/conf/icml/RaskuttiFK02.html

[66]. Using Abstract Models of Behaviours to Automatically Generate Reinforcement Learning Hierarchies.

作者: Malcolm R. K. Ryan,

链接: https://dblp.org/rec/conf/icml/Ryan02.html

[67]. Syllables and other String Kernel Extensions.

作者: Craig Saunders,Hauke Tschach,John Shawe-Taylor,

链接: https://dblp.org/rec/conf/icml/SaundersTS02.html

[68]. Incorporating Prior Knowledge into Boosting.

作者: Robert E. Schapire,Marie Rochery,Mazin G. Rahim,Narendra K. Gupta,

链接: https://dblp.org/rec/conf/icml/SchapireRRG02.html

[69]. Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation.

作者: Robert E. Schapire,Peter Stone,David A. McAllester,Michael L. Littman,János A. Csirik,

链接: https://dblp.org/rec/conf/icml/SchapireSMLC02.html

[70]. How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness.

作者: Alexander K. Seewald,

链接: https://dblp.org/rec/conf/icml/Seewald02.html

[71]. Model-based Hierarchical Average-reward Reinforcement Learning.

作者: Sandeep Seri,Prasad Tadepalli,

链接: https://dblp.org/rec/conf/icml/SeriT02.html

[72]. Separating Skills from Preference: Using Learning to Program by Reward.

作者: Daniel G. Shapiro,Pat Langley,

链接: https://dblp.org/rec/conf/icml/ShapiroL02.html

[73]. Discriminative Feature Selection via Multiclass Variable Memory Markov Model.

作者: Noam Slonim,Gill Bejerano,Shai Fine,Naftali Tishby,

链接: https://dblp.org/rec/conf/icml/SlonimBFT02.html

[74]. Learning to Fly by Controlling Dynamic Instabilities.

作者: David Stirling,

链接: https://dblp.org/rec/conf/icml/Stirling02.html

[75]. Randomized Variable Elimination.

作者: David J. Stracuzzi,Paul E. Utgoff,

链接: https://dblp.org/rec/conf/icml/StracuzziU02.html

[76]. Markov Chain Monte Carlo Sampling using Direct Search Optimization.

作者: Malcolm J. A. Strens,Mark Bernhardt,Nicholas Everett,

链接: https://dblp.org/rec/conf/icml/StrensBE02.html

[77]. Qualitative reverse engineering.

作者: Dorian Suc,Ivan Bratko,

链接: https://dblp.org/rec/conf/icml/SucB02.html

[78]. Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction.

作者: Fumio Takechi,Einoshin Suzuki,

链接: https://dblp.org/rec/conf/icml/TakechiS02.html

[79]. Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection.

作者: Loo-Nin Teow,Haifeng Liu,Hwee Tou Ng,Eric Yap,

链接: https://dblp.org/rec/conf/icml/TeowLNY02.html

[80]. Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo.

作者: Shien-Shin Tham,Arnaud Doucet,Kotagiri Ramamohanarao,

链接: https://dblp.org/rec/conf/icml/ThamDR02.html

[81]. Issues in Classifier Evaluation using Optimal Cost Curves.

作者: Kai Ming Ting,

链接: https://dblp.org/rec/conf/icml/Ting02.html

[82]. Modeling for Optimal Probability Prediction.

作者: Yong Wang,Ian H. Witten,

链接: https://dblp.org/rec/conf/icml/WangW02.html

[83]. Mining Both Positive and Negative Association Rules.

作者: Xindong Wu,Chengqi Zhang,Shichao Zhang,

链接: https://dblp.org/rec/conf/icml/WuZZ02.html

[84]. Non-Disjoint Discretization for Naive-Bayes Classifiers.

作者: Ying Yang,Geoffrey I. Webb,

链接: https://dblp.org/rec/conf/icml/YangW02.html

[85]. Representational Upper Bounds of Bayesian Networks.

作者: Huajie Zhang,Charles X. Ling,

链接: https://dblp.org/rec/conf/icml/ZhangL02.html

[86]. Content-Based Image Retrieval Using Multiple-Instance Learning.

作者: Qi Zhang,Sally A. Goldman,Wei Yu,Jason E. Fritts,

链接: https://dblp.org/rec/conf/icml/ZhangGYF02.html

[87]. Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond.

作者: Tong Zhang,

链接: https://dblp.org/rec/conf/icml/Zhang02.html