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» Learning Rules from Distributed Data
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GIS
1992
ACM
15 years 7 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
AAAI
2000
15 years 4 months ago
Unsupervised Learning and Interactive Jazz/Blues Improvisation
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
Belinda Thom
FUIN
2000
109views more  FUIN 2000»
15 years 2 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
IJAR
2010
130views more  IJAR 2010»
15 years 1 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
EELC
2006
125views Languages» more  EELC 2006»
15 years 6 months ago
How Do Children Develop Syntactic Representations from What They Hear?
nstructional schemas, both specific and abstract. Children are thought to start out with concrete pieces of language and to gradually develop more schematic constructions. All cons...
Elena Lieven