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» Distributed Work Stealing for Constraint Solving
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UAI
2004
13 years 9 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
AI
2005
Springer
13 years 7 months ago
Asynchronous backtracking without adding links: a new member in the ABT family
Following the pioneer work of Yokoo and colleagues on the ABT (asynchronous backtracking) algorithm, several ABT-based procedures have been proposed for solving distributed constr...
Christian Bessière, Arnold Maestre, Ismel B...
CVPR
2012
IEEE
12 years 3 months ago
Jigsaw Puzzles with Pieces of Unknown Orientation
This paper introduces new types of square-piece jigsaw puzzles: those for which the orientation of each jigsaw piece is unknown. We propose a tree-based reassembly that greedily me...
Andrew Gallagher
ATAL
2003
Springer
14 years 24 days ago
Trade of a problem-solving task
This paper focuses on a task allocation problem, particularly in cases where the task is to find a solution to a search problem or a constraint satisfaction problem. If the searc...
Shigeo Matsubara
ICCAD
2003
IEEE
99views Hardware» more  ICCAD 2003»
14 years 26 days ago
A Probabilistic Approach to Buffer Insertion
This work presents a formal probabilistic approach for solving optimization problems in design automation. Prediction accuracy is very low especially at high levels of design flo...
Vishal Khandelwal, Azadeh Davoodi, Akash Nanavati,...