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» Prediction on Spike Data Using Kernel Algorithms
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CHI
2011
ACM
12 years 11 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
ICML
1999
IEEE
14 years 8 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
IPSN
2010
Springer
14 years 2 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
BMCBI
2010
100views more  BMCBI 2010»
13 years 7 months ago
Scaffold filling, contig fusion and comparative gene order inference
Background: There has been a trend in increasing the phylogenetic scope of genome sequencing without finishing the sequence of the genome. Increasing numbers of genomes are being ...
Adriana Muñoz, Chunfang Zheng, Qian Zhu, Vi...
BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
Detecting recombination in evolving nucleotide sequences
Background: Genetic recombination can produce heterogeneous phylogenetic histories within a set of homologous genes. These recombination events can be obscured by subsequent resid...
Cheong Xin Chan, Robert G. Beiko, Mark A. Ragan