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ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 2 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
BIRTHDAY
2008
Springer
13 years 10 months ago
What Do Semantics Matter When the Meat Is Overcooked?
Abstract. We develop an abstract operational model for configuration management under service-oriented computing. This semantics is based on a graph-based representation of the con...
José Luiz Fiadeiro
INFOCOM
2010
IEEE
13 years 6 months ago
Efficient Tag Identification in Mobile RFID Systems
In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first p...
Lei Xie, Bo Sheng, Chiu Chiang Tan, Hao Han, Qun L...
ICTAI
2007
IEEE
14 years 3 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 3 months ago
Finding interesting things
Model- and simulation-designers are often interested not in the optimum output of their system, but in understanding how the output is sensitive to different parameters. This can...
Sean Luke, Deepankar Sharma, Gabriel Catalin Balan