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Publication search results
found 141 matches
- 2006
- Pieter Abbeel, Morgan Quigley, Andrew Y. Ng:
Using inaccurate models in reinforcement learning. ICML 2006: 1-8 - Shivani Agarwal:
Ranking on graph data. ICML 2006: 25-32 - Sameer Agarwal, Kristin Branson, Serge J. Belongie:
Higher order learning with graphs. ICML 2006: 17-24 - Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. Schapire:
Algorithms for portfolio management based on the Newton method. ICML 2006: 9-16 - Cédric Archambeau, Nicolas Delannay, Michel Verleysen:
Robust probabilistic projections. ICML 2006: 33-40 - Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil:
A DC-programming algorithm for kernel selection. ICML 2006: 41-48 - Nima Asgharbeygi, David J. Stracuzzi, Pat Langley:
Relational temporal difference learning. ICML 2006: 49-56 - Arik Azran, Zoubin Ghahramani:
A new approach to data driven clustering. ICML 2006: 57-64 - Maria-Florina Balcan, Avrim Blum:
On a theory of learning with similarity functions. ICML 2006: 73-80 - Maria-Florina Balcan, Alina Beygelzimer, John Langford:
Agnostic active learning. ICML 2006: 65-72 - Arindam Banerjee:
On Bayesian bounds. ICML 2006: 81-88 - Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis:
Convex optimization techniques for fitting sparse Gaussian graphical models. ICML 2006: 89-96 - Alina Beygelzimer, Sham M. Kakade, John Langford:
Cover trees for nearest neighbor. ICML 2006: 97-104 - Ivona Bezáková, Adam Kalai, Rahul Santhanam:
Graph model selection using maximum likelihood. ICML 2006: 105-112 - David M. Blei, John D. Lafferty:
Dynamic topic models. ICML 2006: 113-120 - Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle:
Predictive search distributions. ICML 2006: 121-128 - Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson:
Learning predictive state representations using non-blind policies. ICML 2006: 129-136 - Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel:
Efficient co-regularised least squares regression. ICML 2006: 137-144 - Ulf Brefeld, Tobias Scheffer:
Semi-supervised learning for structured output variables. ICML 2006: 145-152 - Miguel Á. Carreira-Perpiñán:
Fast nonparametric clustering with Gaussian blurring mean-shift. ICML 2006: 153-160 - Rich Caruana, Alexandru Niculescu-Mizil:
An empirical comparison of supervised learning algorithms. ICML 2006: 161-168 - Lawrence Cayton, Sanjoy Dasgupta:
Robust Euclidean embedding. ICML 2006: 169-176 - Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni:
Hierarchical classification: combining Bayes with SVM. ICML 2006: 177-184 - Olivier Chapelle, Mingmin Chi, Alexander Zien:
A continuation method for semi-supervised SVMs. ICML 2006: 185-192 - Pak-Ming Cheung, James T. Kwok:
A regularization framework for multiple-instance learning. ICML 2006: 193-200 - Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou:
Trading convexity for scalability. ICML 2006: 201-208 - Vincent Conitzer, Nikesh Garera:
Learning algorithms for online principal-agent problems (and selling goods online). ICML 2006: 209-216 - Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok:
Locally adaptive classification piloted by uncertainty. ICML 2006: 225-232 - Jesse Davis, Mark Goadrich:
The relationship between Precision-Recall and ROC curves. ICML 2006: 233-240 - Dennis DeCoste:
Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. ICML 2006: 249-256
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