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CONCUR
2004
Springer
15 years 4 months ago
The Pros and Cons of Netcharts
Netcharts have been introduced recently by Mukund et al. in [17]. This new appealing approach to the specification of collections of message sequence charts (MSCs) benefits from ...
Nicolas Baudru, Rémi Morin
111
Voted
BMCBI
2010
193views more  BMCBI 2010»
14 years 6 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
AAAI
1992
15 years 8 days ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
15 years 11 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
ICML
2009
IEEE
15 years 12 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans