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TKDE
2010
168views more  TKDE 2010»
13 years 8 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
14 years 2 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
ISI
2007
Springer
14 years 4 months ago
A Combinatorial Approach to Measuring Anonymity
— In this paper we define a new metric for quantifying the degree of anonymity collectively afforded to users of an anonymous communication system. We show how our metric, based...
Matthew Edman, Fikret Sivrikaya, Bülent Yener
ICDAR
2003
IEEE
14 years 3 months ago
Character Recognition by Adaptive Statistical Similarity
Handwriting recognition and OCR systems need to cope with a wide variety of writing styles and fonts, many of them possibly not previously encountered during training. This paper d...
Thomas M. Breuel
COLING
2010
13 years 5 months ago
Filtered Ranking for Bootstrapping in Event Extraction
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
Shasha Liao, Ralph Grishman