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127
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CIKM
2008
Springer
15 years 5 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
141
Voted
BMCBI
2011
14 years 10 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...
381
Voted

Book
2028views
16 years 11 months ago
TCL Wise - Guide to the TCL Programming Language
"this book is an introduction to the main ideas of the Tcl programming language: If you wish to learn a simple and powerful programming language, this book is for you. To read...
Salvatore Sanfilippo
ICPR
2000
IEEE
16 years 4 months ago
Structural Defects: General Approach and Application to Textile Inspection
This paper addresses detection of imperfections in repetitive regular structures (textures). Humans can easily find such defects without prior knowledge of the `good' pattern...
Dmitry Chetverikov
114
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...