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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 2 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ICC
2007
IEEE
193views Communications» more  ICC 2007»
14 years 1 months ago
A Semantic Context Model for Location-Based Cooperative Mobile Computing
—This paper addresses context issues in pervasive mobile computing and presents a semantic context model to support location based cooperative mobile applications. In this paper,...
Bin Hu, Philip Moore, Hsiai-Hwa Chen
NIPS
2008
13 years 9 months ago
Psychiatry: Insights into depression through normative decision-making models
Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, ana...
Quentin J. M. Huys, Joshua T. Vogelstein, Peter Da...
ICPADS
2006
IEEE
14 years 1 months ago
The Impact of Information Availability and Workload Characteristics on the Performance of Job Co-allocation in Multi-clusters
In this paper, we utilize a bandwidth-centric job communication model that captures the interaction and impact of simultaneously co-allocating jobs across multiple clusters. We ma...
William M. Jones, Walter B. Ligon III, Nishant Shr...
TCS
1998
13 years 7 months ago
Dynamical Recognizers: Real-Time Language Recognition by Analog Computers
We consider a model of analog computation which can recognize various languages in real time. We encode an input word as a point in Rd by composing iterated maps, and then apply i...
Cristopher Moore