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» Prediction on Spike Data Using Kernel Algorithms
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BMCBI
2006
112views more  BMCBI 2006»
15 years 6 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
ICML
2009
IEEE
16 years 7 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
TIT
2008
97views more  TIT 2008»
15 years 6 months ago
Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets
The problem of predicting a sequence x ; x ; . . . generated by a discrete source with unknown statistics is considered. Each letter x is predicted using the information on the wor...
Boris Ryabko, Jaakko Astola, Alexander Gammerman
ICML
2009
IEEE
16 years 7 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICML
2001
IEEE
16 years 7 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan