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AAAI
2011
12 years 7 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
DDEP
2000
Springer
13 years 12 months ago
A Link-Oriented Comparison of Hyperdocuments and Programs
There are parallels between the construction of programs and the construction of hypertexts, and in ar between the abstractions available to the application programmer and those a...
Heather Brown, Peter J. Brown, Les Carr, Wendy Hal...
TPHOL
1999
IEEE
13 years 12 months ago
Inductive Datatypes in HOL - Lessons Learned in Formal-Logic Engineering
Abstract. Isabelle/HOL has recently acquired new versions of definitional packages for inductive datatypes and primitive recursive functions. In contrast to its predecessors and mo...
Stefan Berghofer, Markus Wenzel
DATAMINE
2010
166views more  DATAMINE 2010»
13 years 7 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont
ML
2008
ACM
13 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...