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ISCI
2008
165views more  ISCI 2008»
15 years 3 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
SADM
2010
128views more  SADM 2010»
15 years 1 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
LREC
2010
179views Education» more  LREC 2010»
15 years 4 months ago
A Context Sensitive Variant Dictionary for Supporting Variant Selection
In Japanese, there are a large number of notational variants of words. This is because Japanese words are written in three kinds of characters: kanji (Chinese) characters, hiragar...
Aya Nishikawa, Ryo Nishimura, Yasuhiko Watanabe, Y...
MM
2010
ACM
126views Multimedia» more  MM 2010»
15 years 3 months ago
Gaze awareness and interaction support in presentations
: Gaze Awareness and Interaction Support in Presentations Kar-Han Tan, Dan Gelb, Ramin Samadani, Ian Robinson, Bruce Culbertson, John Apostolopoulos HP Laboratories HPL-2010-187 D...
Kar-Han Tan, Dan Gelb, Ramin Samadani, Ian N. Robi...
TMI
2010
172views more  TMI 2010»
15 years 1 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...