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ICDAR
2005
IEEE
14 years 1 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
DIS
2004
Springer
14 years 24 days ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
WAIM
2010
Springer
14 years 14 days ago
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
ESEM
2007
ACM
13 years 11 months ago
Comparison of Outlier Detection Methods in Fault-proneness Models
In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...
Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, ...
CEAS
2006
Springer
13 years 11 months ago
Online Discriminative Spam Filter Training
We describe a very simple technique for discriminatively training a spam filter. Our results on the TREC Enron spam corpus would have been the best for the Ham at .1% measure, and...
Joshua Goodman, Wen-tau Yih