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102
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GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
15 years 6 months ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja
88
Voted
FLAIRS
2006
15 years 2 months ago
Using Active Relocation to Aid Reinforcement Learning
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Lilyana Mihalkova, Raymond J. Mooney
99
Voted
CEC
2007
IEEE
15 years 7 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
COLT
2003
Springer
15 years 6 months ago
Preference Elicitation and Query Learning
Abstract. In this paper we initiate an exploration of relationships between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the pr...
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, M...
131
Voted
ICALT
2009
IEEE
15 years 4 months ago
A General Architecture for the Integration of Educational Videogames in Standards-compliant Virtual Learning Environments
Although Virtual Learning Environments have become popular educational tools, they remain a very active research topic. Two important aspects being discussed for next-generation V...
Ángel del Blanco, Javier Torrente, Pablo Mo...