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ENGL
2007
180views more  ENGL 2007»
13 years 7 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
ICCHP
2010
Springer
13 years 6 months ago
Synote: Accessible and Assistive Technology Enhancing Learning for All Students
Abstract. Although manual transcription and captioning can increase the accessibility of multimedia for deaf students it is rarely provided in educational contexts in the UK due to...
Mike Wald
ITS
1998
Springer
102views Multimedia» more  ITS 1998»
13 years 12 months ago
Verbal Coaching During a Real-Time Task
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROV...
Bruce Roberts, Nicholas J. Pioch, William Ferguson
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 9 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel