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» Learning to Solve QBF
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PVM
2005
Springer
15 years 9 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
BIRTHDAY
2004
Springer
15 years 9 months ago
Engineers Don't Search
Abstract. This paper is on the automation of knowledge-intensive tasks in engineering domains; here, the term “task” relates to analysis and synthesis tasks, such as diagnosis ...
Benno Stein
EWCBR
1993
Springer
15 years 8 months ago
Explanation-Driven Case-Based Reasoning
Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to eff...
Agnar Aamodt
CAEPIA
2009
Springer
15 years 5 months ago
Empirical Hardness for Mixed Auctions
Mixed Multi-Unit Combinatorial Auctions (MMUCAs) offer a high potential to be employed for the automated assembly of supply chains of agents. However, little is known about the fac...
Pablo Almajano, Jesús Cerquides, Juan A. Ro...
PROCEDIA
2010
85views more  PROCEDIA 2010»
15 years 2 months ago
Toward interactive statistical modeling
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...