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» A Formal Model for Process Context Learning
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HICSS
2003
IEEE
95views Biometrics» more  HICSS 2003»
15 years 11 months ago
Matching Needs - Application Service Providing for Asynchronous Learning Networks
Universities have severe difficulties in using elearning applications successfully due to organizational problems to provide them. Providing a web-based learning environment is an...
Wolf-Gideon Bleek, Iver Jackewitz, Bernd Pape
ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
CORR
2007
Springer
127views Education» more  CORR 2007»
15 years 6 months ago
Attribute Exploration of Discrete Temporal Transitions
Discrete temporal transitions occur in a variety of domains, but this work is mainly motivated by applications in molecular biology: explaining and analyzing observed transcriptome...
Johannes Wollbold
ELPUB
1999
ACM
15 years 10 months ago
Learning Curves: Managing Smooth Product Development Cycles in Non-Print Environments
and abstract entry. But since the burgeoning of the scholarly literature since World War II, these processes had become well-known and expertly done by most organizations in the pu...
Jill O'Neill, Chris Leonard
ECML
2006
Springer
15 years 10 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang