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» Objective ML: An Effective Object-Oriented Extension to ML
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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
AAI
1998
101views more  AAI 1998»
13 years 7 months ago
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server
In the past few years, Multiagent Systems (MAS) has emerged as an active subfield of Artificial Intelligence (AI). Because of the inherent complexity of MAS, there is much inter...
Peter Stone, Manuela M. Veloso
CADE
1999
Springer
13 years 11 months ago
System Description: Twelf - A Meta-Logical Framework for Deductive Systems
Abstract. Twelf is a meta-logical framework for the specification, implementation, and meta-theory of deductive systems from the theory of programming languages and logics. It rel...
Frank Pfenning, Carsten Schürmann
TPHOL
1999
IEEE
13 years 11 months ago
Lifted-FL: A Pragmatic Implementation of Combined Model Checking and Theorem Proving
Combining theorem proving and model checking o ers the tantalizing possibility of e ciently reasoning about large circuits at high levels of abstraction. We have constructed a syst...
Mark Aagaard, Robert B. Jones, Carl-Johan H. Seger
POPL
1999
ACM
13 years 11 months ago
Type-Safe Linking and Modular Assembly Language
Linking is a low-level task that is usually vaguely specified, if at all, by language definitions. However, the security of web browsers and other extensible systems depends cru...
Neal Glew, J. Gregory Morrisett