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DIS
2005
Springer
14 years 2 months ago
Practical Algorithms for Pattern Based Linear Regression
We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masa...
CP
2008
Springer
13 years 10 months ago
A Branch and Bound Algorithm for Numerical MAX-CSP
The Constraint Satisfaction Problem (CSP) framework allows users to define problems in a declarative way, quite independently from the solving process. However, when the problem i...
Jean-Marie Normand, Alexandre Goldsztejn, Marc Chr...
UAI
2004
13 years 10 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
CPM
2008
Springer
148views Combinatorics» more  CPM 2008»
13 years 10 months ago
On-Line Approximate String Matching with Bounded Errors
We introduce a new dimension to the widely studied on-line approximate string matching problem, by introducing an error threshold parameter so that the algorithm is allowed to mis...
Marcos A. Kiwi, Gonzalo Navarro, Claudio Telha
CVPR
2007
IEEE
14 years 10 months ago
Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
Carl Olsson, Anders P. Eriksson, Fredrik Kahl