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ICML
2007
IEEE
15 years 11 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
JMLR
2010
132views more  JMLR 2010»
14 years 4 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
EMNLP
2007
14 years 11 months ago
Learning Noun Phrase Query Segmentation
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens into individual phrases or semantic units. Identification of these query segmen...
Shane Bergsma, Qin Iris Wang
AAAI
2008
15 years 11 days ago
An Unsupervised Approach for Product Record Normalization across Different Web Sites
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Tak-Lam Wong, Tik-Shun Wong, Wai Lam
HICSS
2002
IEEE
93views Biometrics» more  HICSS 2002»
15 years 3 months ago
Too Much to Carry? Copyright Laws in the Electronic Environment
Digitization of information, the rise of the World Wide Web, and the development of new means for information creation, production and dissemination place new strains on the legal...
Terrence A. Maxwell