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TJS
2002
122views more  TJS 2002»
14 years 10 months ago
Optimal BSR Solutions to Several Convex Polygon Problems
Abstract. This paper focuses on BSR (Broadcasting with Selective Reduction) implementation of algorithms solving basic convex polygon problems. More precisely, constant time soluti...
Jean Frédéric Myoupo, David Sem&eacu...
CODES
2006
IEEE
15 years 5 months ago
Retargetable code optimization with SIMD instructions
Retargetable C compilers are nowadays widely used to quickly obtain compiler support for new embedded processors and to perform early processor architecture exploration. One frequ...
Manuel Hohenauer, Christoph Schumacher, Rainer Leu...
DATE
2008
IEEE
106views Hardware» more  DATE 2008»
15 years 5 months ago
Retargetable Code Optimization for Predicated Execution
Retargetable C compilers are key components of today’s embedded processor design platforms for quickly obtaining compiler support and performing early processor architecture exp...
Manuel Hohenauer, Felix Engel, Rainer Leupers, Ger...
IJCNN
2006
IEEE
15 years 5 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
15 years 11 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi