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ICML
2010
IEEE
13 years 9 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
CAV
2004
Springer
87views Hardware» more  CAV 2004»
14 years 1 months ago
GSTE Is Partitioned Model Checking
Verifying whether an ω-regular property is satisfied by a finite-state system is a core problem in model checking. Standard techniques build an automaton with the complementary ...
Roberto Sebastiani, Eli Singerman, Stefano Tonetta...
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
14 years 2 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...
HIS
2009
13 years 6 months ago
A Memetic Algorithm for the Generalized Minimum Vertex-Biconnected Network Problem
Abstract--The generalized minimum vertex-biconnected network problem plays an important role in the design of survivable backbone networks that should be fault tolerant to single c...
Bin Hu, Günther R. Raidl
ECML
2007
Springer
14 years 2 months ago
Graph-Based Domain Mapping for Transfer Learning in General Games
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
Gregory Kuhlmann, Peter Stone