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» Reformulating Constraint Models Using Input Data
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PLDI
2009
ACM
15 years 10 months ago
A decision procedure for subset constraints over regular languages
Reasoning about string variables, in particular program inputs, is an important aspect of many program analyses and testing frameworks. Program inputs invariably arrive as strings...
Pieter Hooimeijer, Westley Weimer
ECAI
2004
Springer
15 years 3 months ago
Using Constraints with Memory to Implement Variable Elimination
Abstract. Adaptive consistency is a solving algorithm for constraint networks. Its basic step is variable elimination: it takes a network as input, and producesan equivalent networ...
Martí Sánchez, Pedro Meseguer, Javie...
80
Voted
IROS
2008
IEEE
115views Robotics» more  IROS 2008»
15 years 4 months ago
A framework for optimal gait generation via learning optimal control using virtual constraint
— This paper proposes an optimal gait generation framework using virtual constraint and learning optimal control. In this method, firstly, we add a constraint by a virtual poten...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
JMLR
2010
218views more  JMLR 2010»
14 years 4 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
KBSE
2008
IEEE
15 years 4 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov