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» Relation Extraction Using Support Vector Machine
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146
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ICML
2000
IEEE
16 years 4 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ICALT
2005
IEEE
15 years 9 months ago
A System Designed to Support Formative Assessment of Open-Ended Written Assignments
This paper introduces the MarkTool System – a software system designed to support formative assessment of open-ended written assignments. The MarkTool System brings together ser...
Jun Zhang, Eva Heinrich
MIR
2006
ACM
141views Multimedia» more  MIR 2006»
15 years 9 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy
134
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 6 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
99
Voted
ICPR
2004
IEEE
16 years 4 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang