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CONTEXT
2001
Springer
15 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
IPPS
2006
IEEE
15 years 4 months ago
Techniques and tools for dynamic optimization
Traditional code optimizers have produced significant performance improvements over the past forty years. While promising avenues of research still exist, traditional static and p...
Jason Hiser, Naveen Kumar, Min Zhao, Shukang Zhou,...
SAB
2004
Springer
159views Optimization» more  SAB 2004»
15 years 3 months ago
Swarming Behavior Using Probabilistic Roadmap Techniques
While techniques exist for simulating swarming behaviors, these methods usually provide only simplistic navigation and planning capabilities. In this review, we explore the benefi...
O. Burçhan Bayazit, Jyh-Ming Lien, Nancy M....
FMOODS
2007
14 years 11 months ago
A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
RECSYS
2009
ACM
15 years 4 months ago
Regret-based optimal recommendation sets in conversational recommender systems
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
Paolo Viappiani, Craig Boutilier