Conferences in DBLP
Yasemin Altun , Ioannis Tsochantaridis , Thomas Hofmann Hidden Markov Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Aharon Bar-Hillel , Tomer Hertz , Noam Shental , Daphna Weinshall Learning Distance Functions using Equivalence Relations. [Citation Graph (0, 0)][DBLP ] Conf ] Yoram Baram , Ran El-Yaniv , Kobi Luz Online Choice of Active Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Margherita Berardi , Michelangelo Ceci , Floriana Esposito , Donato Malerba Learning Logic Programs for Layout Analysis Correction. [Citation Graph (0, 0)][DBLP ] Conf ] Jinbo Bi Multi-Objective Programming in SVMs. [Citation Graph (0, 0)][DBLP ] Conf ] Jinbo Bi , Kristin P. Bennett Regression Error Characteristic Curves. [Citation Graph (0, 0)][DBLP ] Conf ] Remco R. Bouckaert Choosing Between Two Learning Algorithms Based on Calibrated Tests. [Citation Graph (0, 0)][DBLP ] Conf ] Klaus Brinker Incorporating Diversity in Active Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Gavin Brown , Jeremy L. Wyatt The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Jesús Cerquides , Ramon López de Mántaras Tractable Bayesian Learning of Tree Augmented Naive Bayes Models. [Citation Graph (0, 0)][DBLP ] Conf ] Vincent Conitzer , Tuomas Sandholm AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. [Citation Graph (0, 0)][DBLP ] Conf ] Vincent Conitzer , Tuomas Sandholm BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games. [Citation Graph (0, 0)][DBLP ] Conf ] Fabio Gagliardi Cozman , Ira Cohen , Marcelo Cesar Cirelo Semi-Supervised Learning of Mixture Models. [Citation Graph (0, 0)][DBLP ] Conf ] Chad M. Cumby , Dan Roth On Kernel Methods for Relational Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Dennis DeCoste , Dominic Mazzoni Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. [Citation Graph (0, 0)][DBLP ] Conf ] Kurt Driessens , Jan Ramon Relational Instance Based Regression for Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael O. Duff Design for an Optimal Probe. [Citation Graph (0, 0)][DBLP ] Conf ] Michael O. Duff Diffusion Approximation for Bayesian Markov Chains. [Citation Graph (0, 0)][DBLP ] Conf ] Charles Elkan Using the Triangle Inequality to Accelerate k-Means. [Citation Graph (0, 0)][DBLP ] Conf ] Yaakov Engel , Shie Mannor , Ron Meir Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Eyal Even-Dar , Shie Mannor , Yishay Mansour Action Elimination and Stopping Conditions for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] James Fan , Raymond Lau , Risto Miikkulainen Utilizing Domain Knowledge in Neuroevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaoli Zhang Fern , Carla E. Brodley Boosting Lazy Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaoli Zhang Fern , Carla E. Brodley Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Peter A. Flach The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics. [Citation Graph (0, 0)][DBLP ] Conf ] Johannes Fürnkranz , Peter A. Flach An Analysis of Rule Evaluation Metrics. [Citation Graph (0, 0)][DBLP ] Conf ] Ashutosh Garg , Dan Roth Margin Distribution and Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Geibel , Fritz Wysotzki Perceptron Based Learning with Example Dependent and Noisy Costs. [Citation Graph (0, 0)][DBLP ] Conf ] Mohammad Ghavamzadeh , Sridhar Mahadevan Hierarchical Policy Gradient Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Thore Graepel Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations. [Citation Graph (0, 0)][DBLP ] Conf ] Amy R. Greenwald , Keith Hall Correlated Q-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Edward F. Harrington Online Ranking/Collaborative Filtering Using the Perceptron Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Isaac , Claude Sammut Goal-directed Learning to Fly. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred Jaeger Probabilistic Classifiers and the Concepts They Recognize. [Citation Graph (0, 0)][DBLP ] Conf ] David Jensen , Jennifer Neville , Michael Hay Avoiding Bias when Aggregating Relational Data with Degree Disparity. [Citation Graph (0, 0)][DBLP ] Conf ] Rong Jin , Rong Yan , Jian Zhang , Alexander G. Hauptmann A Faster Iterative Scaling Algorithm for Conditional Exponential Model. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims Transductive Learning via Spectral Graph Partitioning. [Citation Graph (0, 0)][DBLP ] Conf ] Judy Johnson , Kostas Tsioutsiouliklis , C. Lee Giles Evolving Strategies for Focused Web Crawling. [Citation Graph (0, 0)][DBLP ] Conf ] Sham Kakade , Michael J. Kearns , John Langford Exploration in Metric State Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Alexandros Kalousis , Melanie Hilario Representational Issues in Meta-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Hisashi Kashima , Koji Tsuda , Akihiro Inokuchi Marginalized Kernels Between Labeled Graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Samuel Kaski , Jaakko Peltonen Informative Discriminant Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] William G. Kennedy , Kenneth A. De Jong Characteristics of Long-term Learning in Soar and its Application to the Utility Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Sergey Kirshner , Sridevi Parise , Padhraic Smyth Unsupervised Learning with Permuted Data. [Citation Graph (0, 0)][DBLP ] Conf ] Aldebaro Klautau , Nikola Jevtic , Alon Orlitsky Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Risi Imre Kondor , Tony Jebara A Kernel Between Sets of Vectors. [Citation Graph (0, 0)][DBLP ] Conf ] Clifford Kotnik , Jugal K. Kalita The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy. [Citation Graph (0, 0)][DBLP ] Conf ] Krzysztof Krawiec , Bir Bhanu Visual Learning by Evolutionary Feature Synthesis. [Citation Graph (0, 0)][DBLP ] Conf ] Raghu Krishnapuram , Krishna Prasad Chitrapura , Sachindra Joshi Classification of Text Documents Based on Minimum System Entropy. [Citation Graph (0, 0)][DBLP ] Conf ] Jeremy Kubica , Andrew W. Moore , David Cohn , Jeff G. Schneider Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. [Citation Graph (0, 0)][DBLP ] Conf ] James T. Kwok , Ivor W. Tsang Learning with Idealized Kernels. [Citation Graph (0, 0)][DBLP ] Conf ] James T. Kwok , Ivor W. Tsang The Pre-Image Problem in Kernel Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolas Lachiche , Peter A. Flach Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. [Citation Graph (0, 0)][DBLP ] Conf ] Michail G. Lagoudakis , Ronald Parr Reinforcement Learning as Classification: Leveraging Modern Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Pat Langley , Dileep George , Stephen D. Bay , Kazumi Saito Robust Induction of Process Models from Time-Series Data. [Citation Graph (0, 0)][DBLP ] Conf ] Adam Laud , Gerald DeJong The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. [Citation Graph (0, 0)][DBLP ] Conf ] Wee Sun Lee , Bing Liu Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. [Citation Graph (0, 0)][DBLP ] Conf ] Jure Leskovec , John Shawe-Taylor Linear Programming Boosting for Uneven Datasets. [Citation Graph (0, 0)][DBLP ] Conf ] Cong Li , Ji-Rong Wen , Hang Li Text Classification Using Stochastic Keyword Generation. [Citation Graph (0, 0)][DBLP ] Conf ] Fan Li , Yiming Yang A Loss Function Analysis for Classification Methods in Text Categorization. [Citation Graph (0, 0)][DBLP ] Conf ] Charles X. Ling , Robert J. Yan Decision Tree with Better Ranking. [Citation Graph (0, 0)][DBLP ] Conf ] Tao Liu , Shengping Liu , Zheng Chen , Wei-Ying Ma An Evaluation on Feature Selection for Text Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Qing Lu , Lise Getoor Link-based Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Hiroshi Mamitsuka Hierarchical Latent Knowledge Analysis for Co-occurrence Data. [Citation Graph (0, 0)][DBLP ] Conf ] Shie Mannor , Reuven Y. Rubinstein , Yohai Gat The Cross Entropy Method for Fast Policy Search. [Citation Graph (0, 0)][DBLP ] Conf ] Mario Marchand , Mohak Shah , John Shawe-Taylor , Marina Sokolova The Set Covering Machine with Data-Dependent Half-Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Amy McGovern , David Jensen Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. [Citation Graph (0, 0)][DBLP ] Conf ] H. Brendan McMahan , Geoffrey J. Gordon , Avrim Blum Planning in the Presence of Cost Functions Controlled by an Adversary. [Citation Graph (0, 0)][DBLP ] Conf ] Chris Mesterharm Using Linear-threshold Algorithms to Combine Multi-class Sub-experts. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore , Weng-Keen Wong Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rémi Munos Error Bounds for Approximate Policy Iteration. [Citation Graph (0, 0)][DBLP ] Conf ] Cheng Soon Ong , Alex J. Smola Machine Learning with Hyperkernels. [Citation Graph (0, 0)][DBLP ] Conf ] Dmitry Pavlov , Alexandrin Popescul , David M. Pennock , Lyle H. Ungar Mixtures of Conditional Maximum Entropy Models. [Citation Graph (0, 0)][DBLP ] Conf ] Simon Perkins , James Theiler Online Feature Selection using Grafting. [Citation Graph (0, 0)][DBLP ] Conf ] Reid B. Porter , Damian Eads , Don R. Hush , James Theiler Weighted Order Statistic Classifiers with Large Rank-Order Margin. [Citation Graph (0, 0)][DBLP ] Conf ] Balaraman Ravindran , Andrew G. Barto Relativized Options: Choosing the Right Transformation. [Citation Graph (0, 0)][DBLP ] Conf ] Jason D. Rennie , Lawrence Shih , Jaime Teevan , David R. Karger Tackling the Poor Assumptions of Naive Bayes Text Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Matt Richardson , Pedro Domingos Learning with Knowledge from Multiple Experts. [Citation Graph (0, 0)][DBLP ] Conf ] François Rivest , Doina Precup Combining TD-learning with Cascade-correlation Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Roman Rosipal , Leonard J. Trejo , Bryan Matthews Kernel PLS-SVC for Linear and Nonlinear Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Ulrich Rückert , Stefan Kramer Stochastic Local Search in k-Term DNF Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Stuart J. Russell , Andrew Zimdars Q-Decomposition for Reinforcement Learning Agents. [Citation Graph (0, 0)][DBLP ] Conf ] Ruslan Salakhutdinov , Sam T. Roweis Adaptive Overrelaxed Bound Optimization Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Ruslan Salakhutdinov , Sam T. Roweis , Zoubin Ghahramani Optimization with EM and Expectation-Conjugate-Gradient. [Citation Graph (0, 0)][DBLP ] Conf ] Ralf Schoknecht , Artur Merke TD(0) Converges Provably Faster than the Residual Gradient Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Sebban , Jean-Christophe Janodet On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence Shih , Jason D. Rennie , Yu-Han Chang , David R. Karger Text Bundling: Statistics Based Data-Reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Luo Si , Rong Jin Flexible Mixture Model for Collaborative Filtering. [Citation Graph (0, 0)][DBLP ] Conf ] Satinder P. Singh , Michael L. Littman , Nicholas K. Jong , David Pardoe , Peter Stone Learning Predictive State Representations. [Citation Graph (0, 0)][DBLP ] Conf ] Nathan Srebro , Tommi Jaakkola Weighted Low-Rank Approximations. [Citation Graph (0, 0)][DBLP ] Conf ] Jeff L. Stimpson , Michael A. Goodrich Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining. [Citation Graph (0, 0)][DBLP ] Conf ] Malcolm J. A. Strens Evolutionary MCMC Sampling and Optimization in Discrete Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin Taskar , Ming Fai Wong , Daphne Koller Learning on the Test Data: Leveraging Unseen Features. [Citation Graph (0, 0)][DBLP ] Conf ] Giorgio Valentini , Thomas G. Dietterich Low Bias Bagged Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] S. V. N. Vishwanathan , Alex J. Smola , M. Narasimha Murty SimpleSVM. [Citation Graph (0, 0)][DBLP ] Conf ] Vladimir Vovk , Ilia Nouretdinov , Alexander Gammerman Testing Exchangeability On-Line. [Citation Graph (0, 0)][DBLP ] Conf ] Xin Wang , Thomas G. Dietterich Model-based Policy Gradient Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Shaojun Wang , Dale Schuurmans , Fuchun Peng , Yunxin Zhao Learning Mixture Models with the Latent Maximum Entropy Principle. [Citation Graph (0, 0)][DBLP ] Conf ] Eric Wiewiora , Garrison W. Cottrell , Charles Elkan Principled Methods for Advising Reinforcement Learning Agents. [Citation Graph (0, 0)][DBLP ] Conf ] Elly Winner , Manuela M. Veloso DISTILL: Learning Domain-Specific Planners by Example. [Citation Graph (0, 0)][DBLP ] Conf ] Weng-Keen Wong , Andrew W. Moore , Gregory F. Cooper , Michael Wagner Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. [Citation Graph (0, 0)][DBLP ] Conf ] Gang Wu , Edward Y. Chang Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaoyun Wu , Rohini K. Srihari New í-Support Vector Machines and their Sequential Minimal Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Takeshi Yamada , Kazumi Saito , Naonori Ueda Cross-Entropy Directed Embedding of Network Data. [Citation Graph (0, 0)][DBLP ] Conf ] Yuu Yamada , Einoshin Suzuki , Hideto Yokoi , Katsuhiko Takabayashi Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. [Citation Graph (0, 0)][DBLP ] Conf ] Lian Yan , Robert H. Dodier , Michael Mozer , Richard H. Wolniewicz Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. [Citation Graph (0, 0)][DBLP ] Conf ] Lei Yu , Huan Liu Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. [Citation Graph (0, 0)][DBLP ] Conf ] Hongyuan Zha , Zhenyue Zhang Isometric Embedding and Continuum ISOMAP. [Citation Graph (0, 0)][DBLP ] Conf ] Zhihua Zhang Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Zhang 0002 , Vasant Honavar Learning from Attribute Value Taxonomies and Partially Specified Instances. [Citation Graph (0, 0)][DBLP ] Conf ] Jian Zhang , Rong Jin , Yiming Yang , Alexander G. Hauptmann Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. [Citation Graph (0, 0)][DBLP ] Conf ] Yi Zhang , Wei Xu , James P. Callan Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Tong Zhang , Bin Yu On the Convergence of Boosting Procedures. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaojin Zhu , Zoubin Ghahramani , John D. Lafferty Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Xingquan Zhu , Xindong Wu , Qijun Chen Eliminating Class Noise in Large Datasets. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Zinkevich Online Convex Programming and Generalized Infinitesimal Gradient Ascent. [Citation Graph (0, 0)][DBLP ] Conf ] 