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INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 9 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
CVPR
2004
IEEE
15 years 29 days ago
Value Directed Learning of Gestures and Facial Displays
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...
Jesse Hoey, James J. Little
ECML
2006
Springer
14 years 2 months ago
Skill Acquisition Via Transfer Learning and Advice Taking
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
13 years 9 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
APN
2006
Springer
14 years 28 days ago
From Petri Nets to Differential Equations - An Integrative Approach for Biochemical Network Analysis
Abstract. We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for the modelling and analysis of biochemical n...
David Gilbert, Monika Heiner