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» Sequential Inductive Learning
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DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
14 years 4 months ago
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
ICFP
2005
ACM
14 years 3 months ago
Fast narrowing-driven partial evaluation for inductively sequential programs
Narrowing-driven partial evaluation is a powerful technique for the specialization of (first-order) functional and functional logic programs. However, although it gives good resu...
J. Guadalupe Ramos, Josep Silva, Germán Vid...
IWINAC
2007
Springer
14 years 3 months ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
IADIS
2004
13 years 11 months ago
Modelling Inductive Reasoning Ability for Adaptive Virtual Learning Environment
Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that ...
Taiyu Lin, Kinshuk, Paul McNab
ALT
2004
Springer
14 years 6 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting