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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 4 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
The topic-perspective model for social tagging systems
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...
CORR
2006
Springer
141views Education» more  CORR 2006»
15 years 6 months ago
Spectra of large block matrices
In a frequency selective slow-fading channel in a MIMO system, the channel matrix is of the form of a block matrix. This paper proposes a method to calculate the limit of the eige...
Reza Rashidi Far, Tamer Oraby, Wlodzimierz Bryc, R...
PDP
2002
IEEE
15 years 11 months ago
A Jini Framework for Distributed Service Flexibility
Existing distributed middleware technologies and Enterprise Application frameworks lack in support to service flexibility from both the developer’s and user’s point of view. ...
Domenico Cotroneo, Cristiano di Flora, Stefano Rus...
ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 6 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung