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145
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ICML
2007
IEEE
16 years 4 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
142
Voted
ISBI
2006
IEEE
16 years 4 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
133
Voted
WWW
2008
ACM
16 years 4 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
126
Voted
WWW
2005
ACM
16 years 4 months ago
An enhanced model for searching in semantic portals
Semantic Portal is the next generation of web portals that are powered by Semantic Web technologies for improved information sharing and exchange for a community of users. Current...
Lei Zhang, Yong Yu, Jian Zhou, Chenxi Lin, Yin Yan...
238
Voted
POPL
2009
ACM
16 years 4 months ago
Wild control operators
Linguists seek to understand the semantics of expressions in human languages. Taking a computational point of view, there are many natural language expressions--operators in the w...
Chris Barker