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Publication search results
found 205 matches
- 2007
- Bernhard Schölkopf, John C. Platt, Thomas Hofmann:
Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006. MIT Press 2007, ISBN 0-262-19568-2 [contents] - 2006
- Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng:
An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS 2006: 1-8 - Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor:
Tighter PAC-Bayes Bounds. NIPS 2006: 9-16 - Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer:
Online Classification for Complex Problems Using Simultaneous Projections. NIPS 2006: 17-24 - Rie Kubota Ando, Tong Zhang:
Learning on Graph with Laplacian Regularization. NIPS 2006: 25-32 - Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen:
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets. NIPS 2006: 33-40 - Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil:
Multi-Task Feature Learning. NIPS 2006: 41-48 - Peter Auer, Ronald Ortner:
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. NIPS 2006: 49-56 - Shai Avidan, Moshe Butman:
Efficient Methods for Privacy Preserving Face Detection. NIPS 2006: 57-64 - Francis R. Bach:
Active learning for misspecified generalized linear models. NIPS 2006: 65-72 - Aharon Bar-Hillel, Daphna Weinshall:
Subordinate class recognition using relational object models. NIPS 2006: 73-80 - David Barber, Silvia Chiappa:
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models. NIPS 2006: 81-88 - David Barber, Bertrand Mesot:
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems. NIPS 2006: 89-96 - Peter L. Bartlett, Ambuj Tewari:
Sample Complexity of Policy Search with Known Dynamics. NIPS 2006: 97-104 - Peter L. Bartlett, Mikhail Traskin:
AdaBoost is Consistent. NIPS 2006: 105-112 - Chiara Bartolozzi, Giacomo Indiveri:
A selective attention multi--chip system with dynamic synapses and spiking neurons. NIPS 2006: 113-120 - Alexis J. Battle, Gal Chechik, Daphne Koller:
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128 - Mikhail Belkin, Partha Niyogi:
Convergence of Laplacian Eigenmaps. NIPS 2006: 129-136 - Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira:
Analysis of Representations for Domain Adaptation. NIPS 2006: 137-144 - Eli Ben-Sasson, Adam Tauman Kalai, Ehud Kalai:
An Approach to Bounded Rationality. NIPS 2006: 145-152 - Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle:
Greedy Layer-Wise Training of Deep Networks. NIPS 2006: 153-160 - Steffen Bickel, Tobias Scheffer:
Dirichlet-Enhanced Spam Filtering based on Biased Samples. NIPS 2006: 161-168 - Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto:
Detecting Humans via Their Pose. NIPS 2006: 169-176 - Oren Boiman, Michal Irani:
Similarity by Composition. NIPS 2006: 177-184 - Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller:
Denoising and Dimension Reduction in Feature Space. NIPS 2006: 185-192 - Christopher J. C. Burges, Robert Ragno, Quoc Viet Le:
Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200 - Peter Carbonetto, Nando de Freitas:
Conditional mean field. NIPS 2006: 201-208 - Gavin C. Cawley, Nicola L. C. Talbot, Mark A. Girolami:
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216 - Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi:
Branch and Bound for Semi-Supervised Support Vector Machines. NIPS 2006: 217-224 - Laurent Charlin, Pascal Poupart, Romy Shioda:
Automated Hierarchy Discovery for Planning in Partially Observable Environments. NIPS 2006: 225-232
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