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ALT
2004
Springer
16 years 3 months ago
Hidden Markov Modelling Techniques for Haplotype Analysis
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pas...
ICML
2010
IEEE
15 years 7 months ago
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
Daniel J. Lizotte, Michael H. Bowling, Susan A. Mu...
PUC
2010
84views more  PUC 2010»
15 years 4 months ago
Information privacy in institutional and end-user tracking and recording technologies
This paper presents an analysis of attitudes towards everyday tracking and recording technologies (e.g., credit cards, store loyalty cards, store video cameras). This work focuses ...
David H. Nguyen, Gillian R. Hayes
BMCBI
2006
164views more  BMCBI 2006»
15 years 6 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 7 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...