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» Inductance Effects in RLC Trees
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ICFP
2007
ACM
14 years 7 months ago
Inductive reasoning about effectful data types
We present a pair of reasoning principles, definition and proof by rigid induction, which can be seen as proper generalizations of lazy-datatype induction to monadic effects other...
Andrzej Filinski, Kristian Støvring
ACL
2006
13 years 9 months ago
Prototype-Driven Grammar Induction
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
Aria Haghighi, Dan Klein
ICIP
2009
IEEE
13 years 5 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
ACL
2007
13 years 9 months ago
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
Jens Nilsson, Joakim Nivre, Johan Hall
IJCAI
2003
13 years 8 months ago
Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
David Page, Soumya Ray