76 search results - page 8 / 16 » A kernel-based causal learning algorithm |
VLDB
1998
ACM
13 years 11 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
NIPS
1994
13 years 9 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
CONNECTION
2006
13 years 7 months ago
2006
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
APIN
2008
13 years 7 months ago
2008
Abstract A new approach to algorithmic trading system development is presented. This approach, Kernel Price Pattern Trading (KPPTP ), allows the practitioner to link the performanc...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...