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IISWC
2006
IEEE
15 years 3 months ago
Constructing a Non-Linear Model with Neural Networks for Workload Characterization
Workload characterization involves the understanding of the relationship between workload configurations and performance characteristics. To better assess the complexity of worklo...
Richard M. Yoo, Han Lee, Kingsum Chow, Hsien-Hsin ...
ICAIL
2005
ACM
15 years 3 months ago
Constructing a Semantic Network for Legal Content
The Dutch Tax and Customs Administration (DTCA) is one of many organizations that deal with a multitude of electronic legal data, from various sources and in different formats. In...
Radboud Winkels, Alexander Boer, Emile de Maat, To...
NIPS
2004
14 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
DAWAK
2010
Springer
14 years 9 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
CG
2008
Springer
14 years 9 months ago
Fast, parallel, and asynchronous construction of BVHs for ray tracing animated scenes
Recent developments have produced several techniques for interactive ray tracing of dynamic scenes. In particular, bounding volume hierarchies (BVHs) are efficient acceleration st...
Ingo Wald, Thiago Ize, Steven G. Parker