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» Towards Automatic Model Generation by Optimization
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JMLR
2010
148views more  JMLR 2010»
13 years 4 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
TVLSI
2008
187views more  TVLSI 2008»
13 years 9 months ago
A Design Flow for Architecture Exploration and Implementation of Partially Reconfigurable Processors
During the last years, the growing application complexity, design, and mask costs have compelled embedded system designers to increasingly consider partially reconfigurable applica...
Kingshuk Karuri, Anupam Chattopadhyay, Xiaolin Che...
POPL
2006
ACM
14 years 10 months ago
A hierarchical model of data locality
In POPL 2002, Petrank and Rawitz showed a universal result-finding optimal data placement is not only NP-hard but also impossible to approximate within a constant factor if P = NP...
Chengliang Zhang, Chen Ding, Mitsunori Ogihara, Yu...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 3 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
KDD
2012
ACM
243views Data Mining» more  KDD 2012»
12 years 8 days ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...