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» Learning Measurement Models for Unobserved Variables
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CVPR
2005
IEEE
15 years 11 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
BMCBI
2004
113views more  BMCBI 2004»
14 years 9 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
ICONIP
2009
14 years 7 months ago
Effectiveness of Intrinsically Motivated Adaptive Agent for Sustainable Human-Agent Interaction
To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy...
Takayuki Nozawa, Toshiyuki Kondo
93
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AMAI
2005
Springer
14 years 9 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
SIGIR
2004
ACM
15 years 2 months ago
Dependence language model for information retrieval
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...