Conferences in DBLP
Ricardo Aler , Daniel Borrajo , Pedro Isasi Knowledge Representation Issues in Control Knowledge Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Erin L. Allwein , Robert E. Schapire , Yoram Singer Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Brigham S. Anderson , Andrew W. Moore , David Cohn A Nonparametric Approach to Noisy and Costly Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Charles W. Anderson , Bruce A. Draper , David A. Peterson Behavioral Cloning of Student Pilots with Modular Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Bikramjit Banerjee , Sandip Debnath , Sandip Sen Combining Multiple Perspectives. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Baxter , Peter L. Bartlett Reinforcement Learning in POMDP's via Direct Gradient Ascent. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen D. Bay , Michael J. Pazzani Characterizing Model Erros and Differences. [Citation Graph (0, 0)][DBLP ] Conf ] Kristin P. Bennett , Erin J. Bredensteiner Duality and Geometry in SVM Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Kristin P. Bennett , Ayhan Demiriz , John Shawe-Taylor A Column Generation Algorithm For Boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Mihai Boicu , Gheorghe Tecuci , Dorin Marcu , Michael Bowman , Ping Shyr , Florin Ciucu , Cristian Levcovici Disciple-COA: From Agent Programming to Agent Teaching. [Citation Graph (0, 0)][DBLP ] Conf ] Antony F. Bowers , Christophe G. Giraud-Carrier , John W. Lloyd Classification of Individuals with Complex Structure. [Citation Graph (0, 0)][DBLP ] Conf ] Michael H. Bowling Convergence Problems of General-Sum Multiagent Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew Brand Finding Variational Structure in Data by Cross-Entropy Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Jake D. Brutlag , Christopher Meek Challenges of the Email Domain for Text Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Colin Campbell , Nello Cristianini , Alex J. Smola Query Learning with Large Margin Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] William M. Campbell , Kari Torkkola , Sreeream V. Balakrishnan Dimension Reduction Techniques for Training Polynomial Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Huan Chang , David Cohn , Andrew McCallum Learning to Create Customized Authority Lists. [Citation Graph (0, 0)][DBLP ] Conf ] Yong S. Choi , Suk I. Yoo Learning to Select Text Databases with Neural Nets. [Citation Graph (0, 0)][DBLP ] Conf ] Eric Chown , Thomas G. Dietterich A Divide and Conquer Approach to Learning from Prior Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Jefferson A. Coelho Jr. , Roderic A. Grupen Learning in Non-stationary Conditions: A Control Theoretic Approach. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen Automatically Extracting Features for Concept Learning from the Web. [Citation Graph (0, 0)][DBLP ] Conf ] David Cohn , Huan Chang Learning to Probabilistically Identify Authoritative Documents. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Collins Discriminative Reranking for Natural Language Parsing. [Citation Graph (0, 0)][DBLP ] Conf ] Simon Colton , Alan Bundy , Toby Walsh Automatic Identification of Mathematical Concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Jörg Conradt , Gaurav Tevatia , Sethu Vijayakumar , Stefan Schaal On-line Learning for Humanoid Robot Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Craven , David Page , Jude W. Shavlik , Joseph Bockhorst , Jeremy D. Glasner Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. [Citation Graph (0, 0)][DBLP ] Conf ] Daniela Pucci de Farias , Benjamin Van Roy Fixed Points of Approximate Value Iteration and Temporal-Difference Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Gerald DeJong Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos Bayesian Averaging of Classifiers and the Overfitting Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos A Unifeid Bias-Variance Decomposition and its Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Chris Drummond , Robert C. Holte Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria. [Citation Graph (0, 0)][DBLP ] Conf ] Jennifer G. Dy , Carla E. Brodley Feature Subset Selection and Order Identification for Unsupervised Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Eleazar Eskin Anomaly Detection over Noisy Data using Learned Probability Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Floriana Esposito , Nicola Fanizzi , Stefano Ferilli , Giovanni Semeraro Ideal Theory Refinement under Object Identity. [Citation Graph (0, 0)][DBLP ] Conf ] Theodoros Evgeniou , Luis Pérez-Breva , Massimiliano Pontil , Tomaso Poggio Bounds on the Generalization Performance of Kernel Machine Ensembles. [Citation Graph (0, 0)][DBLP ] Conf ] Alan Fern , Robert Givan Online Ensemble Learning: An Empirical Study. [Citation Graph (0, 0)][DBLP ] Conf ] Claude-Nicolas Fiechter , Seth Rogers Learning Subjective Functions with Large Margins. [Citation Graph (0, 0)][DBLP ] Conf ] Jürgen Forster , Manfred K. Warmuth Relative Loss Bounds for Temporal-Difference Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rayid Ghani Using Error-Correcting Codes for Text Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Attilio Giordana , Lorenza Saitta , Michèle Sebag , Marco Botta Analyzing Relational Learning in the Phase Transition Framework. [Citation Graph (0, 0)][DBLP ] Conf ] Dani Goldberg , Maja J. Mataric Learning Multiple Models for Reward Maximization. [Citation Graph (0, 0)][DBLP ] Conf ] Sally A. Goldman , Yan Zhou Enhancing Supervised Learning with Unlabeled Data. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey J. Gordon , Andrew Moore Learning Filaments. [Citation Graph (0, 0)][DBLP ] Conf ] Gregory Z. Grudic , Lyle H. Ungar Localizing Policy Gradient Estimates to Action Transition. [Citation Graph (0, 0)][DBLP ] Conf ] Keith Hall , Thomas Hofmann Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval. [Citation Graph (0, 0)][DBLP ] Conf ] Mark A. Hall Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Tom Heskes Empirical Bayes for Learning to Learn. [Citation Graph (0, 0)][DBLP ] Conf ] Véronique Hoste , Walter Daelemans , Erik F. Tjong Kim Sang , Steven Gillis Meta-Learning for Phonemic Annotation of Corpora. [Citation Graph (0, 0)][DBLP ] Conf ] Dean F. Hougen , Maria L. Gini , James R. Slagle An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control. [Citation Graph (0, 0)][DBLP ] Conf ] Nicholas R. Howe Data as Ensembles of Records: Representation and Comparison. [Citation Graph (0, 0)][DBLP ] Conf ] Chun-Nan Hsu , Hung-Ju Huang , Tzu-Tsung Wong Why Discretization Works for Naive Bayesian Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Junling Hu , Michael P. Wellman Experimental Results on Q-Learning for General-Sum Stochastic Games. [Citation Graph (0, 0)][DBLP ] Conf ] Yi-Cheng Huang , Bart Selman , Henry A. Kautz Learning Declarative Control Rules for Constraint-BAsed Planning. [Citation Graph (0, 0)][DBLP ] Conf ] Fan Jiang , Michael L. Littman Approximate Dimension Equalization in Vector-based Information Retrieval. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims Estimating the Generalization Performance of an SVM Efficiently. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Ju , Leslie Pack Kaelbling , Yoram Singer State-based Classification of Finger Gestures from Electromyographic Signals. [Citation Graph (0, 0)][DBLP ] Conf ] Susumu Katayama , Hajime Kimura , Shigenobu Kobayashi A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Cenk Kaynak , Ethem Alpaydin MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey O. Kephart , Gerald Tesauro Pseudo-convergent Q-Learning by Competitive Pricebots. [Citation Graph (0, 0)][DBLP ] Conf ] Roni Khardon Learning Horn Expressions with LogAn-H. [Citation Graph (0, 0)][DBLP ] Conf ] Zu Whan Kim , Ramakant Nevatia Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Ralf Klinkenberg , Thorsten Joachims Detecting Concept Drift with Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Paul Komarek , Andrew W. Moore A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat , Martin Cooperson Jr. Voting Nearest-Neighbor Subclassifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Michail G. Lagoudakis , Michael L. Littman Algorithm Selection using Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Terran Lane , Carla E. Brodley Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. [Citation Graph (0, 0)][DBLP ] Conf ] Tessa A. Lau , Pedro Domingos , Daniel S. Weld Version Space Algebra and its Application to Programming by Demonstration. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Lauer , Martin A. Riedmiller An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Cen Li , Gautam Biswas A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] Conf ] Jinyan Li , Kotagiri Ramamohanarao , Guozhu Dong The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Yi Li Selective Voting for Perception-like Online Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Marcus A. Maloof An Initial Study of an Adaptive Hierarchical Vision System. [Citation Graph (0, 0)][DBLP ] Conf ] Hiroshi Mamitsuka , Naoki Abe Efficient Mining from Large Databases by Query Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Dragos D. Margineantu , Thomas G. Dietterich Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew McCallum , Dayne Freitag , Fernando C. N. Pereira Maximum Entropy Markov Models for Information Extraction and Segmentation. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey J. McLachlan , David Peel Mixtures of Factor Analyzers. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew R. Mitchell "Boosting'' a Positive-Data-Only Learner. [Citation Graph (0, 0)][DBLP ] Conf ] Robert Moll , Theodore J. Perkins , Andrew G. Barto Machine Learning for Subproblem Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Morimoto , Kenji Doya Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Muggleton , Christopher H. Bryant , Ashwin Srinivasan Learning Chomsky-like Grammars for Biological Sequence Families. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew D. Mullin , Rahul Sukthankar Complete Cross-Validation for Nearest Neighbor Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Rémi Munos , Andrew W. Moore Rates of Convergence for Variable Resolution Schemes in Optimal Control. [Citation Graph (0, 0)][DBLP ] Conf ] Kary Myers , Michael J. Kearns , Satinder P. Singh , Marilyn A. Walker A Boosting Approach to Topic Spotting on Subdialogues. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Y. Ng , Stuart J. Russell Algorithms for Inverse Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel Nikovski , Illah R. Nourbakhsh Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots. [Citation Graph (0, 0)][DBLP ] Conf ] Partha Niyogi , Narendra Karmarkar An Approach to Data Reduction and Clustering with Theoretical Guarantees. [Citation Graph (0, 0)][DBLP ] Conf ] Tadashi Nomoto , Yuji Matsumoto Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse. [Citation Graph (0, 0)][DBLP ] Conf ] Seishi Okamoto , Nobuhiro Yugami Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Joseph O'Sullivan , John Langford , Rich Caruana , Avrim Blum FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. [Citation Graph (0, 0)][DBLP ] Conf ] Alberto Paccanaro , Geoffrey E. Hinton Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. [Citation Graph (0, 0)][DBLP ] Conf ] Georgios Paliouras , Christos Papatheodorou , Vangelis Karkaletsis , Constantine D. Spyropoulos Clustering the Users of Large Web Sites into Communities. [Citation Graph (0, 0)][DBLP ] Conf ] Dan Pelleg , Andrew W. Moore X-means: Extending K-means with Efficient Estimation of the Number of Clusters. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Pennock , Pedrito Maynard-Reid II , C. Lee Giles , Eric Horvitz A Normative Examination of Ensemble Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Pfahringer , Hilan Bensusan , Christophe G. Giraud-Carrier Meta-Learning by Landmarking Various Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Justus H. Piater , Roderic A. Grupen Constructive Feature Learning and the Development of Visual Expertise. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Precup , Richard S. Sutton , Satinder P. Singh Eligibility Traces for Off-Policy Policy Evaluation. [Citation Graph (0, 0)][DBLP ] Conf ] Jette Randløv Shaping in Reinforcement Learning by Changing the Physics of the Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Jette Randløv , Andrew G. Barto , Michael T. Rosenstein Combining Reinforcement Learning with a Local Control Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Stuart I. Reynolds Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning. [Citation Graph (0, 0)][DBLP ] Conf ] Corinna Richter , Jörg Stachowiak Knowledge Propagation in Model-based Reinforcement Learning Tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Charles R. Rosenberg Image Color Constancy Using EM and Cached Statistics. [Citation Graph (0, 0)][DBLP ] Conf ] Malcolm R. K. Ryan , Mark D. Reid Learning to Fly: An Application of Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Rychetsky , John Shawe-Taylor , Manfred Glesner Direct Bayes Point Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Scott Sanner , John R. Anderson , Christian Lebiere , Marsha C. Lovett Achieving Efficient and Cognitively Plausible Learning in Backgammon. [Citation Graph (0, 0)][DBLP ] Conf ] Tobias Scheffer Predicting the Generalization Performance of Cross Validatory Model Selection Criteria. [Citation Graph (0, 0)][DBLP ] Conf ] Greg Schohn , David Cohn Less is More: Active Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Dale Schuurmans , Finnegan Southey An Adaptive Regularization Criterion for Supervised Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Sebban , Richard Nock Instance Pruning as an Information Preserving Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Segal , Jeffrey O. Kephart Incremental Learning in SwiftFile. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas R. Shultz , François Rivest Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Bezerra de Andrade e Silva , Teresa Bernarda Ludermir Obtaining Simplified Rule Bases by Hybrid Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Bryan Singer , Manuela M. Veloso Learning to Predict Performance from Formula Modeling and Training Data. [Citation Graph (0, 0)][DBLP ] Conf ] Seán Slattery , Tom M. Mitchell Discovering Test Set Regularities in Relational Domains. [Citation Graph (0, 0)][DBLP ] Conf ] William D. Smart , Leslie Pack Kaelbling Practical Reinforcement Learning in Continuous Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Alex J. Smola , Bernhard Schölkopf Sparse Greedy Matrix Approximation for Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Leen-Kiat Soh , Costas Tsatsoulis Using Learning by Discovery to Segment Remotely Sensed Images. [Citation Graph (0, 0)][DBLP ] Conf ] Manu Sridharan , Gerald Tesauro Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Stone TPOT-RL Applied to Network Routing. [Citation Graph (0, 0)][DBLP ] Conf ] Malcolm J. A. Strens A Bayesian Framework for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Luis Talavera Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies. [Citation Graph (0, 0)][DBLP ] Conf ] Astro Teller , Manuela M. Veloso Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement. [Citation Graph (0, 0)][DBLP ] Conf ] Loo-Nin Teow , Kia-Fock Loe Selection of Support Vector Kernel Parameters for Improved Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Franck Thollard , Pierre Dupont , Colin de la Higuera Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ming Ting A Comparative Study of Cost-Sensitive Boosting Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Ljupco Todorovski , Saso Dzeroski , Ashwin Srinivasan , Jonathan Whiteley , David Gavaghan Discovering the Structure of Partial Differential Equations from Example Behaviour. [Citation Graph (0, 0)][DBLP ] Conf ] Simon Tong , Daphne Koller Support Vector Machine Active Learning with Application sto Text Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo Partial Linear Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Kari Torkkola , William M. Campbell Mutual Information in Learning Feature Transformations. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey G. Towell Local Expert Autoassociators for Anomaly Detection. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey G. Towell , Thomas Petsche , Michael R. Miller Learning Priorities From Noisy Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Shivakumar Vaithyanathan , Byron Dom Hierarchical Unsupervised Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Van Allen , Russell Greiner Model Selection Criteria for Learning Belief Nets: An Empirical Comparison. [Citation Graph (0, 0)][DBLP ] Conf ] Antal van den Bosch , Jakub Zavrel Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Menno van Zaanen Bootstrapping Syntax and Recursion using Alginment-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Veeser An Evolutionary Approach to Evidence-Based Learning of Deterministic Finite Automata. [Citation Graph (0, 0)][DBLP ] Conf ] Sethu Vijayakumar , Stefan Schaal Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Vilalta , Daniel Oblinger A Quantification of Distance Bias Between Evaluation Metrics In Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Slobodan Vucetic , Zoran Obradovic Discovering Homogeneous Regions in Spatial Data through Competition. [Citation Graph (0, 0)][DBLP ] Conf ] Kiri Wagstaff , Claire Cardie Clustering with Instance-level Constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Marilyn A. Walker , Jeremy H. Wright , Irene Langkilde Using Natural Language Processing and discourse Features to Identify Understanding Errors. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Wang , Jean-Daniel Zucker Solving the Multiple-Instance Problem: A Lazy Learning Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Takashi Washio , Hiroshi Motoda , Yuji Niwa Enhancing the Plausibility of Law Equation Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Sholom M. Weiss , Nitin Indurkhya Lightweight Rule Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Machiel Westerdijk , Wim Wiegerinck Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Wiering Multi-Agent Reinforcement Leraning for Traffic Light Control. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher K. I. Williams , Matthias Seeger The Effect of the Input Density Distribution on Kernel-based Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Yiming Yang , Tom Ault , Thomas Pierce Combining Multiple Learning Strategies for Effective Cross Validation. [Citation Graph (0, 0)][DBLP ] Conf ] Olcay Taner Yildiz , Ethem Alpaydin Linear Discriminant Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Sarah Zelikovitz , Haym Hirsh Improving Short-Text Classification using Unlabeled Data for Classification Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Blaz Zupan , Ivan Bratko , Marko Bohanec , Janez Demsar Induction of Concept Hierarchies from Noisy Data. [Citation Graph (0, 0)][DBLP ] Conf ] Pat Langley Crafting Papers on Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] 