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» Optimal Testing of Structured Knowledge
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MTV
2006
IEEE
138views Hardware» more  MTV 2006»
15 years 8 months ago
Advanced SAT-Techniques for Bounded Model Checking of Blackbox Designs
In this paper we will present an optimized structural 01X-SAT-solver for bounded model checking of blackbox designs that exploits semantical knowledge regarding the node selection...
Marc Herbstritt, Bernd Becker, Christoph Scholl
LION
2009
Springer
135views Optimization» more  LION 2009»
15 years 8 months ago
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the ...
Alberto J. M. Martin, Alessandro Vullo, Gianluca P...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 2 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
EUROGP
2003
Springer
122views Optimization» more  EUROGP 2003»
15 years 7 months ago
Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming
Teleo-reactive programs and the triple tower architecture have been proposed as a framework for linking perception and action in agents. The triple tower architecture continually u...
Mykel J. Kochenderfer
IJCNN
2007
IEEE
15 years 8 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot