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» Process Discovery Using Integer Linear Programming
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126
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NIPS
1998
15 years 3 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
140
Voted
TROB
2010
129views more  TROB 2010»
15 years 17 days ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
129
Voted
CP
2008
Springer
15 years 4 months ago
Solving a Telecommunications Feature Subscription Configuration Problem
Abstract. Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a fea...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...
84
Voted
INTERFACES
2008
77views more  INTERFACES 2008»
15 years 2 months ago
Showcase Scheduling at Fred Astaire East Side Dance Studio
: The ballroom dancing showcases at Fred Astaire East Side Dance Studio in Manhattan are held at least twice a year and provide the students with an environment for socializing, pr...
Miguel A. Lejeune, Nevena Yakova
123
Voted
JSAT
2006
88views more  JSAT 2006»
15 years 2 months ago
On Using Cutting Planes in Pseudo-Boolean Optimization
Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). However, cutting plane techniques are seldom used in PseudoBoolean...
Vasco M. Manquinho, João P. Marques Silva