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ICML
2005
IEEE
16 years 7 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
ICPR
2008
IEEE
16 years 1 months ago
Boosting Gaussian mixture models via discriminant analysis
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
Hao Tang, Thomas S. Huang
ECML
2007
Springer
16 years 27 days ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
ASPDAC
2006
ACM
143views Hardware» more  ASPDAC 2006»
16 years 21 days ago
CDCTree: novel obstacle-avoiding routing tree construction based on current driven circuit model
Abstract— Routing tree construction is a fundamental problem in modern VLSI design. In this paper we propose CDCTree, an Obstacle-Avoiding Rectilinear Steiner Minimum Tree (OARSM...
Yiyu Shi, Tong Jing, Lei He, Zhe Feng 0002, Xianlo...
NLPRS
2001
Springer
15 years 11 months ago
GLR Parser with Conditional Action Model(CAM)
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
Yong-Jae Kwak, Young-Sook Hwang, Hoo-Jung Chung, S...