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Publication search results
found 100 matches
- 2009
- Thomas Abeel, Yves Van de Peer, Yvan Saeys:
Java-ML: A Machine Learning Library. J. Mach. Learn. Res. 10: 931-934 (2009) - Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. 10: 803-826 (2009) - Shivani Agarwal, Partha Niyogi:
Generalization Bounds for Ranking Algorithms via Algorithmic Stability. J. Mach. Learn. Res. 10: 441-474 (2009) - Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin:
Learning Acyclic Probabilistic Circuits Using Test Paths. J. Mach. Learn. Res. 10: 1881-1911 (2009) - Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil:
When Is There a Representer Theorem? Vector Versus Matrix Regularizers. J. Mach. Learn. Res. 10: 2507-2529 (2009) - Sylvain Arlot, Pascal Massart:
Data-driven Calibration of Penalties for Least-Squares Regression. J. Mach. Learn. Res. 10: 245-279 (2009) - Steffen Bickel, Michael Brückner, Tobias Scheffer:
Discriminative Learning Under Covariate Shift. J. Mach. Learn. Res. 10: 2137-2155 (2009) - Gilles Blanchard, Étienne Roquain:
Adaptive False Discovery Rate Control under Independence and Dependence. J. Mach. Learn. Res. 10: 2837-2871 (2009) - Antoine Bordes, Léon Bottou, Patrick Gallinari:
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. J. Mach. Learn. Res. 10: 1737-1754 (2009) - Marc Boullé:
A Parameter-Free Classification Method for Large Scale Learning. J. Mach. Learn. Res. 10: 1367-1385 (2009) - Facundo Bromberg, Dimitris Margaritis:
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation. J. Mach. Learn. Res. 10: 301-340 (2009) - Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, Nicholas Roy:
Provably Efficient Learning with Typed Parametric Models. J. Mach. Learn. Res. 10: 1955-1988 (2009) - Sébastien Bubeck, Ulrike von Luxburg:
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions. J. Mach. Learn. Res. 10: 657-698 (2009) - Jie Chen, Haw-ren Fang, Yousef Saad:
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection. J. Mach. Learn. Res. 10: 1989-2012 (2009) - Yihua Chen, Eric K. Garcia, Maya R. Gupta, Ali Rahimi, Luca Cazzanti:
Similarity-based Classification: Concepts and Algorithms. J. Mach. Learn. Res. 10: 747-776 (2009) - Juan José del Coz, Jorge Díez, Antonio Bahamonde:
Learning Nondeterministic Classifiers. J. Mach. Learn. Res. 10: 2273-2293 (2009) - Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni:
Analysis of Perceptron-Based Active Learning. J. Mach. Learn. Res. 10: 281-299 (2009) - Mathias Drton, Michael Eichler, Thomas S. Richardson:
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors. J. Mach. Learn. Res. 10: 2329-2348 (2009) - John C. Duchi, Yoram Singer:
Efficient Online and Batch Learning Using Forward Backward Splitting. J. Mach. Learn. Res. 10: 2899-2934 (2009) - Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia:
Incorporating Functional Knowledge in Neural Networks. J. Mach. Learn. Res. 10: 1239-1262 (2009) - Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Particle Swarm Model Selection. J. Mach. Learn. Res. 10: 405-440 (2009) - Roberto Esposito, Daniele Paolo Radicioni:
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning. J. Mach. Learn. Res. 10: 1851-1880 (2009) - Jianqing Fan, Richard Samworth, Yichao Wu:
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. 10: 2013-2038 (2009) - Vitaly Feldman:
On The Power of Membership Queries in Agnostic Learning. J. Mach. Learn. Res. 10: 163-182 (2009) - Luciana Ferrer, M. Kemal Sönmez, Elizabeth Shriberg:
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems. J. Mach. Learn. Res. 10: 2079-2114 (2009) - Leslie Foster, Alex Waagen, Nabeela Aijaz, Michael Hurley, Apolonio Luis, Joel Rinsky, Chandrika Satyavolu, Michael J. Way, Paul R. Gazis, Ashok Srivastava:
Stable and Efficient Gaussian Process Calculations. J. Mach. Learn. Res. 10: 857-882 (2009) - Vojtech Franc, Sören Sonnenburg:
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. J. Mach. Learn. Res. 10: 2157-2192 (2009) - Pradip Ghanty, Samrat Paul, Nikhil R. Pal:
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM. J. Mach. Learn. Res. 10: 591-622 (2009) - Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens:
Robust Process Discovery with Artificial Negative Events. J. Mach. Learn. Res. 10: 1305-1340 (2009) - Dirk Gorissen, Tom Dhaene, Filip De Turck:
Evolutionary Model Type Selection for Global Surrogate Modeling. J. Mach. Learn. Res. 10: 2039-2078 (2009)
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