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» Learning Causal Models of Relational Domains
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BMCBI
2008
166views more  BMCBI 2008»
13 years 7 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
NIPS
2008
13 years 8 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
ECAI
2008
Springer
13 years 9 months ago
Task Driven Coreference Resolution for Relation Extraction
Abstract. This paper presents the extension of an existing mimimally supervised rule acquisition method for relation extraction by coreference resolution (CR). To this end, a novel...
Feiyu Xu, Hans Uszkoreit, Hong Li
IUI
2000
ACM
13 years 11 months ago
Creating an empirical basis for adaptation decisions
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...
Anthony Jameson, Barbara Großmann-Hutter, Le...
MLMI
2007
Springer
14 years 1 months ago
Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding
Abstract. This paper proposes an analysis technique for wide-band audio applications based on the predictability of the temporal evolution of Quadrature Mirror Filter (QMF) sub-ban...
Petr Motlícek, Sriram Ganapathy, Hynek Herm...