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ACML
2009
Springer
15 years 2 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
ACL
2003
14 years 11 months ago
A Tabulation-Based Parsing Method that Reduces Copying
This paper presents a new bottom-up chart parsing algorithm for Prolog along with a compilation procedure that reduces the amount of copying at run-time to a constant number (2) p...
Gerald Penn, Cosmin Munteanu
HAIS
2009
Springer
15 years 1 months ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
Joaquín Derrac, Salvador García, Fra...
IPPS
2008
IEEE
15 years 4 months ago
Outlier detection in performance data of parallel applications
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
Katharina Benkert, Edgar Gabriel, Michael M. Resch
ICTAI
2006
IEEE
15 years 4 months ago
A Multi-HMM Approach to ECG Segmentation
Pharmaceutic studies require to analyze thousands of ECGs in order to evaluate the side effects of a new drug. In this paper we present a new approach to automatic ECG segmentatio...
Julien Thomas, Cédric Rose, François...