Search results for "Machine Learning"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Kanta Naito, Shinto Eguchi	Density estimation with minimization of U-divergence.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz	Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Todd Hester, Peter Stone	TEXPLORE: real-time sample-efficient reinforcement learning for robots.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Kun Deng, Yaling Zheng, Chris Bourke, Stephen D. Scott, Julie Masciale	New algorithms for budgeted learning.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Esma Aïmeur, Gilles Brassard, Sébastien Gambs	Quantum speed-up for unsupervised learning.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Koby Crammer, Alex Kulesza, Mark Dredze	Adaptive regularization of weight vectors.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Adriana Birlutiu, Perry Groot, Tom Heskes	Efficiently learning the preferences of people.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Masanori Kawakita, Takafumi Kanamori	Semi-supervised learning with density-ratio estimation.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Steven C. H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang	Online Multiple Kernel Classification.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Stéphan Clémençon, Sylvain Robbiano, Nicolas Vayatis	Ranking data with ordinal labels: optimality and pairwise aggregation.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Frank Dondelinger, Sophie Lèbre, Dirk Husmeier	Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Elmar Diederichs, Anatoli Juditsky, Arkadi Nemirovski, Vladimir Spokoiny	Sparse non Gaussian component analysis by semidefinite programming.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Alain Rakotomamonjy, Rémi Flamary, Florian Yger	Learning with infinitely many features.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira	Exploiting label dependencies for improved sample complexity.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Computational complexity of kernel-based density-ratio estimation: a condition number analysis.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima	Completing causal networks by meta-level abduction.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Swee Chuan Tan	Mass estimation.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	João Gama, Raquel Sebastião, Pedro Pereira Rodrigues	On evaluating stream learning algorithms.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto	Learning figures with the Hausdorff metric by fractals - towards computable binary classification.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Marco Grzegorczyk, Dirk Husmeier	Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Koby Crammer, Claudio Gentile	Multiclass classification with bandit feedback using adaptive regularization.	Machine Learning	2013	DBLP DOI BibTeX RDF
1	Liu Yang, Steve Hanneke, Jaime G. Carbonell	A theory of transfer learning with applications to active learning.	Machine Learning	2013	DBLP DOI BibTeX RDF
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	Gayle Leen, Jaakko Peltonen, Samuel Kaski	Focused multi-task learning in a Gaussian process framework.	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	Frédéric Koriche	Relational networks of conditional preferences.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Yiming Yang, Siddharth Gopal	Multilabel classification with meta-level features in a learning-to-rank framework.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Aurélien Bellet, Amaury Habrard, Marc Sebban	Good edit similarity learning by loss minimization.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Nicolò Cesa-Bianchi, Matteo Re, Giorgio Valentini	Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou	Introduction to the special issue on learning from multi-label data.	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	Allison Chang, Cynthia Rudin, Michael Cavaretta, Robert Thomas, Gloria Chou	How to reverse-engineer quality rankings.	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	Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma	Efficient max-margin multi-label classification with applications to zero-shot learning.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao	Learning compact Markov logic networks with decision trees.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth	Structured learning with constrained conditional models.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park	Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	James Cussens	Online Bayesian inference for the parameters of PRISM programs.	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	Alessandro Rozza, Gabriele Lombardi, Claudio Ceruti, Elena Casiraghi, Paola Campadelli	Novel high intrinsic dimensionality estimators.	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	Stephen Muggleton, Jianzhong Chen	Guest editorial: special issue on Inductive Logic Programming (ILP 2011).	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	Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers	Statistical topic models for multi-label document classification.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier	On label dependence and loss minimization in multi-label classification.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi	Multi-parametric solution-path algorithm for instance-weighted support vector machines.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Oliver Schulte, Hassan Khosravi	Learning graphical models for relational data via lattice search.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier	Learning monotone nonlinear models using the Choquet integral.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer	Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis	Guest editors' introduction: special issue of selected papers from ECML PKDD 2011.	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	Johan Lim, Joong-Ho Won	ROC convex hull and nonparametric maximum likelihood estimation.	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	Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer	Scalable and efficient multi-label classification for evolving data streams.	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	Joris Renkens, Guy Van den Broeck, Siegfried Nijssen	k-Optimal: a novel approximate inference algorithm for ProbLog.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Tianyi Zhou, Dacheng Tao, Xindong Wu	Compressed labeling on distilled labelsets for multi-label learning.	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	Oliver Schulte, Hassan Khosravi, Tong Man	Learning directed relational models with recursive dependencies.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari	Sequential approaches for learning datum-wise sparse representations.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Jianjun He, Hong Gu, Zhelong Wang	Bayesian multi-instance multi-label learning using Gaussian process prior.	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 0001, 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

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