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ICTIR
2009
Springer
14 years 9 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 1 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
TMI
2008
127views more  TMI 2008»
14 years 11 months ago
Restoration of DWI Data Using a Rician LMMSE Estimator
Abstract--This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration ...
Santiago Aja-Fernández, Marc Niethammer, Ma...
ITC
1998
IEEE
174views Hardware» more  ITC 1998»
15 years 4 months ago
High volume microprocessor test escapes, an analysis of defects our tests are missing
This paper explores defects found in a high volume microprocessor when shipping at a low defect level. A brief description of the manufacturing flow along with definition of DPM i...
Wayne M. Needham, Cheryl Prunty, Yeoh Eng Hong
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
15 years 12 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...