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» Solving Sparse Linear Constraints
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EMNLP
2006
15 years 4 months ago
Incremental Integer Linear Programming for Non-projective Dependency Parsing
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
Sebastian Riedel, James Clarke
136
Voted
IAT
2006
IEEE
15 years 9 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce
140
Voted
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
16 years 3 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
FOCS
1990
IEEE
15 years 7 months ago
Parallel Linear Programming in Fixed Dimension Almost Surely in Constant Time
For any xed dimension d, the linear programming problem with n inequality constraints can be solved on a probabilistic CRCW PRAM with O(n) processors almost surely in constant time...
Noga Alon, Nimrod Megiddo
120
Voted
JCP
2008
178views more  JCP 2008»
15 years 3 months ago
Building Design Optimization Using Sequential Linear Programming
-In this paper a nonlinear programming approach is used for the minimization of total communication cost to determine the optimum room dimensions for each room. The nonlinear progr...
Rekha Bhowmik