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WWW
2008
ACM
14 years 5 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ICPR
2010
IEEE
13 years 2 months ago
Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy
To classify spectroscopic measurements it is necessary to have comparable methods of evaluation. In Terahertz (THz) time-domain spectroscopy, as a new technology, neither the pres...
Henrike Stephani, Joachim Jonuscheit, Christoph Ro...
JAIR
2006
110views more  JAIR 2006»
13 years 4 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
ACISICIS
2007
IEEE
13 years 11 months ago
A Framework to Detect Deviations During Process Enactment
People enacting processes deviate from the process definition for a variety of different reasons, the consequences of which may be either positive or negative. Detecting deviation...
Sean Thompson, Torab Torabi, Purva Joshi
CIKM
2008
Springer
13 years 6 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles