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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 1 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
ICDM
2006
IEEE
173views Data Mining» more  ICDM 2006»
16 years 1 months ago
Trajectory Analysis for Soccer Players
In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful infor...
Chan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li
ICDM
2003
IEEE
135views Data Mining» more  ICDM 2003»
16 years 27 days ago
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...
Frédéric Maire
PAKDD
2009
ACM
157views Data Mining» more  PAKDD 2009»
16 years 5 days ago
Analysis of Variational Bayesian Matrix Factorization
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
Shinichi Nakajima, Masashi Sugiyama
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 5 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang