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AUTOMATICA
2002
104views more  AUTOMATICA 2002»
15 years 3 months ago
Who needs QP for linear MPC anyway?
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
Basil Kouvaritakis, Mark Cannon, J. Anthony Rossit...
136
Voted
NAACL
2010
15 years 1 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
158
Voted
EUSFLAT
2009
114views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
The Use of Interval-Valued Probability Measures in Fuzzy Linear Programming: a constraint set approach
This paper uses a constraint set approach to linear programming problems with equality constraints whose coefficients and/or right-hand side values could be uncertain. We consider ...
Phantipa Thipwiwatpotjana, Weldon A. Lodwick
ENDM
2010
115views more  ENDM 2010»
15 years 26 days ago
On the knapsack closure of 0-1 Integer Linear Programs
Many inequalities for Mixed-Integer Linear Programs (MILPs) or pure Integer Linear Programs (ILPs) are derived from the Gomory corner relaxation, where all the nonbinding constrai...
Matteo Fischetti, Andrea Lodi
107
Voted
EOR
2010
101views more  EOR 2010»
14 years 10 months ago
A linear implementation of PACMAN
PACMAN (Passive and Active Compensability Multicriteria ANalysis) is a multiple criteria methodology based on a decision maker oriented notion of compensation, called compensabili...
Silvia Angilella, Alfio Giarlotta, Fabio Lamantia