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MP
2010
154views more  MP 2010»
14 years 11 months ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan
STOC
2010
ACM
216views Algorithms» more  STOC 2010»
15 years 10 months ago
The HOM problem is decidable
We close affirmatively a question which has been open for long time: decidability of the HOM problem. The HOM problem consists in determining, given a tree homomorphism D and a re...
Guillem Godoy, Omer Giménez, Lander Ramos and Car...
JMLR
2006
169views more  JMLR 2006»
15 years 20 days ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
104
Voted
COGSCI
2004
81views more  COGSCI 2004»
15 years 17 days ago
Soft constraints in interactive behavior: the case of ignoring perfect knowledge in-the-world for imperfect knowledge in-the-hea
Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies ar...
Wayne D. Gray, Wai-Tat Fu
106
Voted
STOC
1993
ACM
123views Algorithms» more  STOC 1993»
15 years 4 months ago
Constructing small sample spaces satisfying given constraints
Abstract. The subject of this paper is nding small sample spaces for joint distributions of n discrete random variables. Such distributions are often only required to obey a certa...
Daphne Koller, Nimrod Megiddo