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NIPS
2007
15 years 8 months ago
Probabilistic Matrix Factorization
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
Ruslan Salakhutdinov, Andriy Mnih
COLT
2005
Springer
16 years 8 days ago
Learning a Hidden Hypergraph
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
Dana Angluin, Jiang Chen
ECML
2004
Springer
16 years 3 days ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
AAAI
2008
15 years 9 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
ICASSP
2011
IEEE
14 years 10 months ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero