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ICML
2007
IEEE
16 years 4 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
SIGSOFT
2008
ACM
16 years 4 months ago
Using assertions to help end-user programmers create dependable web macros
Web macros give web browser users ways to "program" tedious tasks, allowing those tasks to be repeated more quickly and reliably than when performed by hand. Web macros ...
Andhy Koesnandar, Sebastian G. Elbaum, Gregg Rothe...
ISBI
2006
IEEE
16 years 4 months ago
Head and neck lymph node region delineation using a hybrid image registration method
The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can c...
Chia-Chi Teng, Linda G. Shapiro, Ira Kalet
WWW
2008
ACM
16 years 4 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
WWW
2005
ACM
16 years 4 months ago
Extracting semantic structure of web documents using content and visual information
This work aims to provide a page segmentation algorithm which uses both visual and content information to extract the semantic structure of a web page. The visual information is u...
Rupesh R. Mehta, Pabitra Mitra, Harish Karnick