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JMLR
2006
85views more  JMLR 2006»
15 years 6 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
AI
2009
Springer
16 years 1 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
ECAI
2004
Springer
16 years 2 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ICAT
2003
IEEE
15 years 12 months ago
Interactive 3-D Visualization of Real Forests
Forest resource management systems and forest landscape visualization applications often need usersteered interactive displays of a forest landscape representing the underlying fo...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan, Tianhe Chi
ICDAR
2003
IEEE
15 years 12 months ago
A Study on Top-down Word Image Generation for Handwritten Word Recognition
This paper describes a top-down word image generation model for holistic handwritten word recognition. To generate a word image, it uses likelihoods based, respectively, on a ling...
Eiki Ishidera, Daisuke Nishiwaki