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92
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BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
15 years 20 days ago
Improving protein secondary structure prediction using a simple k-mer model
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
129
Voted
IPPS
2005
IEEE
15 years 6 months ago
Predictive Performance Modelling of Parallel Component Composition
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
140
Voted
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 9 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
78
Voted
ACL
2008
15 years 2 months ago
Adaptive Language Modeling for Word Prediction
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline. We outline our plans to d...
Keith Trnka
CHI
2005
ACM
16 years 29 days ago
Predicting task execution time on handheld devices using the keystroke-level model
The Keystroke-Level Model (KLM) has been shown to predict skilled use of desktop systems, but has not been validated on a handheld device that uses a stylus instead of a keyboard....
Lu Luo, Bonnie E. John