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IJCAI
1997
15 years 1 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICA
2010
Springer
14 years 11 months ago
Second Order Subspace Analysis and Simple Decompositions
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
Harold W. Gutch, Takanori Maehara, Fabian J. Theis
BMCBI
2008
228views more  BMCBI 2008»
15 years 18 days ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
94
Voted
ICFP
2006
ACM
16 years 13 days ago
Design patterns as higher-order datatype-generic programs
Design patterns are reusable abstractions in object-oriented software. However, using current mainstream programming languages, these elements can only be expressed extra-linguist...
Jeremy Gibbons
91
Voted
SEMWEB
2009
Springer
15 years 7 months ago
Graph-Based Ontology Construction from Heterogenous Evidences
Abstract. Ontologies are tools for describing and structuring knowledge, with many applications in searching and analyzing complex knowledge bases. Since building them manually is ...
Christoph Böhm, Philip Groth, Ulf Leser