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94
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ICML
2004
IEEE
16 years 1 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
ICPR
2010
IEEE
15 years 4 months ago
Lattice-Based Anomaly Rectification for Sport Video Annotation
Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
Aftab Khan, David Windridge, Teofilo De Campos
91
Voted
COGSCI
2010
88views more  COGSCI 2010»
15 years 14 days ago
Domain-Creating Constraints
The contributions to this special issue on cognitive development collectively propose ways in which learning involves developing constraints that shape subsequent learning. A lear...
Robert L. Goldstone, David Landy
97
Voted
DEXAW
2005
IEEE
108views Database» more  DEXAW 2005»
15 years 6 months ago
Developing an Ontology for the Domain Name System
Ontologies provide a means of modelling and representing a knowledge domain. Such representation, already used in purpose-built distributed information systems, can also be of gre...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...
ICML
2004
IEEE
16 years 1 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...