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» Dynamic Optimistic Interprocedural Analysis: A Framework and...
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ICWS
2008
IEEE
14 years 11 months ago
An Adaptive Service Selection Approach to Service Composition
In service computing, the behavior of a service may evolve. When an organization develops a service-oriented application in which certain services are provided by external partner...
Lijun Mei, Wing Kwong Chan, T. H. Tse
107
Voted
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
MICCAI
2005
Springer
15 years 10 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
105
Voted
ICASSP
2010
IEEE
14 years 9 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
PVLDB
2010
125views more  PVLDB 2010»
14 years 8 months ago
Interesting-Phrase Mining for Ad-Hoc Text Analytics
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
Srikanta J. Bedathur, Klaus Berberich, Jens Dittri...