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IJCAI
1993
13 years 5 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
IUI
2010
ACM
14 years 1 months ago
Temporal task footprinting: identifying routine tasks by their temporal patterns
This paper introduces a new representation for describing routine tasks, called temporal task footprints. Routines are characterized by their temporal regularity or rhythm. Tempor...
Oliver Brdiczka, Norman Makoto Su, James Bo Begole
ESWA
2006
122views more  ESWA 2006»
13 years 4 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
WWW
2008
ACM
14 years 5 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
ICML
2006
IEEE
14 years 5 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel