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» Learning and Inference with Constraints
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POPL
2007
ACM
16 years 3 months ago
Dynamic heap type inference for program understanding and debugging
C programs can be difficult to debug due to lax type enforcement and low-level access to memory. We present a dynamic analysis for C that checks heap snapshots for consistency wit...
Ben Liblit, Chloë W. Schulze, Marina Polishch...
KDID
2004
149views Database» more  KDID 2004»
15 years 4 months ago
Database Transposition for Constrained (Closed) Pattern Mining
Abstract. Recently, different works proposed a new way to mine patterns in databases with pathological size. For example, experiments in genome biology usually provide databases wi...
Baptiste Jeudy, François Rioult
UAI
1997
15 years 4 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 10 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
PODS
2002
ACM
167views Database» more  PODS 2002»
16 years 3 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon