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ICML
2010
IEEE
15 years 1 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
JMLR
2008
144views more  JMLR 2008»
15 years 20 days ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
108
Voted
SQJ
2008
74views more  SQJ 2008»
15 years 18 days ago
Quantitatively measuring object-oriented couplings
Abstract. One key to several quality factors of software is the way components are connected. Software coupling can be used to estimate a number of quality factors, including maint...
Jeff Offutt, Aynur Abdurazik, Stephen R. Schach
TSMC
2008
136views more  TSMC 2008»
15 years 17 days ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
109
Voted
SEMWEB
2010
Springer
14 years 10 months ago
Linking and Building Ontologies of Linked Data
The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl:sameAs, as well as other types of linked propert...
Rahul Parundekar, Craig A. Knoblock, José L...