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» Approaches to Compute Workflow Complexity
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ATAL
2006
Springer
15 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
IJCNN
2006
IEEE
15 years 4 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
RIDE
1999
IEEE
15 years 2 months ago
WISE: Business to Business E-Commerce
The Internet and the proliferation of inexpensive computing power in the form of clusters of workstations or PCs provide the basic hardware infrastructure for business to business...
Gustavo Alonso, Ulrich Fiedler, Claus Hagen, Amaia...
80
Voted
ICWS
2010
IEEE
14 years 11 months ago
Extending BPMN for Supporting Customer-Facing Service Quality Requirements
Service-oriented computing promises to create flexible business processes and applications on demand by dynamically assembling loosely coupled services within and across organizati...
Kawther Saeedi, Liping Zhao, Pedro R. Falcone Samp...
88
Voted
SMA
2006
ACM
132views Solid Modeling» more  SMA 2006»
15 years 4 months ago
Generalized penetration depth computation
— We present an efficient algorithm to compute the generalized penetration depth (PDg) between rigid models. Given two overlapping objects, our algorithm attempts to compute the...
Liangjun Zhang, Young J. Kim, Gokul Varadhan, Dine...