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ICML
2010
IEEE
13 years 8 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein
LCPC
2000
Springer
13 years 11 months ago
Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Hironori Kasahara, Motoki Obata, Kazuhisa Ishizaka
ACL
2008
13 years 9 months ago
Dictionary Definitions based Homograph Identification using a Generative Hierarchical Model
A solution to the problem of homograph (words with multiple distinct meanings) identification is proposed and evaluated in this paper. It is demonstrated that a mixture model base...
Anagha Kulkarni, Jamie Callan
ASPDAC
2007
ACM
95views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Low Power Techniques for Mobile Application SoCs Based on Integrated Platform "UniPhier"
In this Paper, we describe the various low power techniques for mobile application SoCs based on the integrated platform "UniPhier". To minimize SoC power dissipation, h...
Masaitsu Nakajima, Takao Yamamoto, Masayuki Yamasa...
ARTMED
2006
86views more  ARTMED 2006»
13 years 7 months ago
Multiple hierarchical classification of free-text clinical guidelines
Manual classification of free-text documents within a predefined hierarchy is highly time consuming. This is especially true for clinical guidelines, which are often indexed by mu...
Robert Moskovitch, Shiva Cohen-Kashi, Uzi Dror, If...