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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 5 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
WSOM
2009
Springer
13 years 11 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
FCT
2005
Springer
13 years 10 months ago
Fully Incremental LCS Computation
Sequence comparison is a fundamental task in pattern matching. Its applications include file comparison, spelling correction, information retrieval, and computing (dis)similaritie...
Yusuke Ishida, Shunsuke Inenaga, Ayumi Shinohara, ...
SAC
2006
ACM
13 years 10 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto