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» Constructive Induction for Classifying Time Series
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AAAI
2012
11 years 9 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
WINE
2009
Springer
178views Economy» more  WINE 2009»
14 years 1 months ago
Computing Optimal Contracts in Series-Parallel Heterogeneous Combinatorial Agencies
We study an economic setting in which a principal motivates a team of strategic agents to exert costly effort toward the success of a joint project. The action taken by each agent...
Yuval Emek, Michal Feldman
SAC
2004
ACM
14 years 15 days ago
Interval and dynamic time warping-based decision trees
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
Juan José Rodríguez, Carlos J. Alons...
PAMI
2008
208views more  PAMI 2008»
13 years 7 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
IDA
2003
Springer
14 years 8 days ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt