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» Applying Predicate Abstraction to Abstract State Machines
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TSMC
2008
136views more  TSMC 2008»
14 years 11 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
AIM
2004
14 years 11 months ago
An AI Planning-based Tool for Scheduling Satellite Nominal Operations
Satellite domains are becoming a fashionable area of research within the AI community due to the complexity of the problems that these domains need to solve. With the current US a...
María Dolores Rodríguez-Moreno, Dani...
138
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LISP
2002
135views more  LISP 2002»
14 years 10 months ago
Optimizing Nested Loops Using Local CPS Conversion
Abstract. Local CPS conversion is a compiler transformation for improving the code generated for nested loops by a direct-style compiler that uses recursive functions to represent ...
John H. Reppy
MICCAI
2010
Springer
14 years 9 months ago
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Abstract. This paper introduces a new method to detect group differences in brain images based on spatially regularized support vector machines (SVM). First, we propose to spatial...
Rémi Cuingnet, Charlotte Rosso, Stép...
100
Voted
MICCAI
2010
Springer
14 years 9 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...