Search results for "Machine Learning"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem	Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Manfred K. Warmuth, Dima Kuzmin	Online variance minimization.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Kazuho Watanabe	An alternative view of variational Bayes and asymptotic approximations of free energy.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan	PAMR: Passive aggressive mean reversion strategy for portfolio selection.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Statistical analysis of kernel-based least-squares density-ratio estimation.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	David Silver, Richard S. Sutton, Martin Müller 0003	Temporal-difference search in computer Go.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Ashwin Srinivasan, Tanveer A. Faruquie, Sachindra Joshi	Data and task parallelism in ILP using MapReduce.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Nader H. Bshouty, Philip M. Long	Linear classifiers are nearly optimal when hidden variables have diverse effects.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan	ILP turns 20 - Biography and future challenges.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Fei Zheng, Geoffrey I. Webb, Pramuditha Suraweera, Liguang Zhu	Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Huan Xu, Shie Mannor	Robustness and generalization.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Matthias Reif, Faisal Shafait, Andreas Dengel	Meta-learning for evolutionary parameter optimization of classifiers.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Tapio Pahikkala, Hanna Suominen, Jorma Boberg	Efficient cross-validation for kernelized least-squares regression with sparse basis expansions.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Hilbert J. Kappen, Vicenç Gómez, Manfred Opper	Optimal control as a graphical model inference problem.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Santiago Ontañón, Enric Plaza	Similarity measures over refinement graphs.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik	Gradient-based boosting for statistical relational learning: The relational dependency network case.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Sicco Verwer, Mathijs de Weerdt, Cees Witteveen	Efficiently identifying deterministic real-time automata from labeled data.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Yoshitaka Yamamoto, Katsumi Inoue, Koji Iwanuma	Inverse subsumption for complete explanatory induction.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Rebecca J. Sela, Jeffrey S. Simonoff	RE-EM trees: a data mining approach for longitudinal and clustered data.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Gui-Bo Ye, Xiaohui Xie	Learning sparse gradients for variable selection and dimension reduction.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Paolo Frasconi, Francesca A. Lisi	Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010).	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Fabrizio Riguzzi, Nicola Di Mauro	Applying the information bottleneck to statistical relational learning.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Marina Meila	Local equivalences of distances between clusterings - a geometric perspective.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes	Experiment databases - A new way to share, organize and learn from experiments.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri	Multi-output learning via spectral filtering.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Laurens van der Maaten, Geoffrey E. Hinton	Visualizing non-metric similarities in multiple maps.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini	Bridging logic and kernel machines.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Ichigaku Takigawa, Hiroshi Mamitsuka	Efficiently mining δ-tolerance closed frequent subgraphs.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang 0007, Zhong Su	Topic level expertise search over heterogeneous networks.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Stéphan Clémençon, Marine Depecker, Nicolas Vayatis	Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Michael C. Burl, Philipp Georg Wetzler	Onboard object recognition for planetary exploration.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli	Neural networks for relational learning: an experimental comparison.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Jacob W. Crandall, Michael A. Goodrich	Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini	Relational information gain.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Steffen Grünewälder, Klaus Obermayer	The optimal unbiased value estimator and its relation to LSTD, TD and MC.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf	Multi-way set enumeration in weight tensors.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Saher Esmeir, Shaul Markovitch	Anytime learning of anycost classifiers.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Achim Rettinger, Matthias Nickles, Volker Tresp	Statistical relational learning of trust.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Shivaram Kalyanakrishnan, Peter Stone	Characterizing reinforcement learning methods through parameterized learning problems.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Taisuke Sato, Masakazu Ishihata, Katsumi Inoue	Constraint-based probabilistic modeling for statistical abduction.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Chris D. Bartels, Jeff A. Bilmes	Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Gregory M. Moore, Charles Bergeron, Kristin P. Bennett	Model selection for primal SVM.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Alexander Clark, Christophe Costa Florêncio, Chris Watkins	Languages as hyperplanes: grammatical inference with string kernels.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Tim Kovacs, Robert Egginton	On the analysis and design of software for reinforcement learning, with a survey of existing systems.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Shimon Whiteson, Michael L. Littman	Introduction to the special issue on empirical evaluations in reinforcement learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan	Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Marta Arias, José L. Balcázar	Construction and learnability of canonical Horn formulas.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet	A majorization-minimization approach to the sparse generalized eigenvalue problem.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Ryota Tomioka	SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Andreas Maunz, Christoph Helma, Stefan Kramer	Efficient mining for structurally diverse subgraph patterns in large molecular databases.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Ondrej Kuzelka, Filip Zelezný	Block-wise construction of tree-like relational features with monotone reducibility and redundancy.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Luis Felipe Giraldo, Fernando Lozano, Nicanor Quijano	Foraging theory for dimensionality reduction of clustered data.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Sanjay Jain, Efim B. Kinber	Iterative learning from texts and counterexamples using additional information.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel	Introduction to the special issue on mining and learning with graphs.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Amir Massoud Farahmand, Csaba Szepesvári	Model selection in reinforcement learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker	Empirical evaluation methods for multiobjective reinforcement learning algorithms.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Junya Honda, Akimichi Takemura	An asymptotically optimal policy for finite support models in the multiarmed bandit problem.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Jan Zahálka, Filip Zelezný	An experimental test of Occam's razor in classification.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Justin Guinney, Qiang Wu, Sayan Mukherjee	Estimating variable structure and dependence in multitask learning via gradients.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Yanping Lv, Shengrui Wang, Shaozi Li, Changle Zhou	Particle swarm optimizer for variable weighting in clustering high-dimensional data.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin	Dual coordinate descent methods for logistic regression and maximum entropy models.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng	Boosted multi-task learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Jens Kober, Jan Peters	Policy search for motor primitives in robotics.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Süreyya Özögür-Akyüz, Devrim Ünay, Alexander J. Smola	Guest editorial: model selection and optimization in machine learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	David Martens, Bart Baesens, Tom Fawcett	Editorial survey: swarm intelligence for data mining.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt	Effective feature construction by maximum common subgraph sampling.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Pat Langley	The changing science of machine learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Susan M. Shortreed, Eric Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy	Informing sequential clinical decision-making through reinforcement learning: an empirical study.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Wenjun Zhou, Hui Xiong	Checkpoint evolution for volatile correlation computing.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb	Feature-subspace aggregating: ensembles for stable and unstable learners.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Roland Hafner, Martin Riedmiller	Reinforcement learning in feedback control - Challenges and benchmarks from technical process control.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	David R. Hardoon, John Shawe-Taylor	Sparse canonical correlation analysis.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Ingo Thon, Niels Landwehr, Luc De Raedt	Stochastic relational processes: Efficient inference and applications.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank	Classifier chains for multi-label classification.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin	Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Takashi Takenouchi, Shin Ishii	Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Zeev Volkovich, Zeev Barzily, G.-W. Weber, D. Toledano-Kitai, R. Avros	Resampling approach for cluster model selection.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Peter A. Flach	The Machine Learning journal: 25 years young.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens	Sparse conjugate directions pursuit with application to fixed-size kernel models.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl	Knows what it knows: a framework for self-aware learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Alan Fern, Roni Khardon, Prasad Tadepalli	The first learning track of the international planning competition.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile	Learning noisy linear classifiers via adaptive and selective sampling.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Marco Grzegorczyk, Dirk Husmeier	Non-homogeneous dynamic Bayesian networks for continuous data.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Chiaki Sakama, Katsumi Inoue	Inductive equivalence in clausal logic and nonmonotonic logic programming.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Amy McGovern, Kiri L. Wagstaff	Machine learning in space: extending our reach.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie	On the eigenvectors of p-Laplacian.	Machine Learning	2010	DBLP DOI BibTeX RDF
1	Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi	Fast learning of relational kernels.	Machine Learning	2010	DBLP BibTeX RDF
1	Nir Ailon, Mehryar Mohri	Preference-based learning to rank.	Machine Learning	2010	DBLP DOI BibTeX RDF
1	Ofer Dekel, Ohad Shamir, Lin Xiao	Learning to classify with missing and corrupted features.	Machine Learning	2010	DBLP DOI BibTeX RDF
1	Dragos D. Margineantu, Weng-Keen Wong, Denver Dash	Machine learning algorithms for event detection.	Machine Learning	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese	Semi-supervised local Fisher discriminant analysis for dimensionality reduction.	Machine Learning	2010	DBLP BibTeX RDF
1	Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller	Temporal kernel CCA and its application in multimodal neuronal data analysis.	Machine Learning	2010	DBLP BibTeX RDF
1	Charles Dugas, David Gadoury	Pointwise exact bootstrap distributions of ROC curves.	Machine Learning	2010	DBLP BibTeX RDF
1	Andrey Bernstein, Nahum Shimkin	Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains.	Machine Learning	2010	DBLP DOI BibTeX RDF
1	Daniel Nikovski, Ankur Jain	Fast adaptive algorithms for abrupt change detection.	Machine Learning	2010	DBLP BibTeX RDF
1	Philip M. Long, Rocco A. Servedio	Random classification noise defeats all convex potential boosters.	Machine Learning	2010	DBLP BibTeX RDF
1	Lan Du, Wray L. Buntine, Huidong Jin	A segmented topic model based on the two-parameter Poisson-Dirichlet process.	Machine Learning	2010	DBLP DOI BibTeX RDF
1	Roger Luis, Luis Enrique Sucar, Eduardo F. Morales	Inductive transfer for learning Bayesian networks.	Machine Learning	2010	DBLP BibTeX RDF
1	Nicolò Cesa-Bianchi, David R. Hardoon, Gayle Leen	Guest Editorial: Learning from multiple sources.	Machine Learning	2010	DBLP BibTeX RDF
1	Frederik Janssen, Johannes Fürnkranz	On the quest for optimal rule learning heuristics.	Machine Learning	2010	DBLP BibTeX RDF

Publications at "Machine Learning"( http://dblp.L3S.de/Venues/Machine_Learning )