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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
CPAIOR
2004
Springer
14 years 1 months ago
Stabilization Issues for Constraint Programming Based Column Generation
Abstract. Constraint programming based column generation is a hybrid optimization framework recently proposed that uses constraint programming (CP) to solve column generation subpr...
Louis-Martin Rousseau
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
14 years 1 months ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
IJMMS
1998
137views more  IJMMS 1998»
13 years 7 months ago
A context model for knowledge-intensive case-based reasoning
: Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real world situations. Mo...
Pinar Öztürk, Agnar Aamodt
JAIR
2006
110views more  JAIR 2006»
13 years 7 months ago
Modelling Mixed Discrete-Continuous Domains for Planning
In this paper we present pddl+, a planning domain description language for modelling mixed discrete-continuous planning domains. We describe the syntax and modelling style of pddl...
Maria Fox, Derek Long