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» Modeling Classification and Inference Learning
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DAGSTUHL
2004
15 years 2 months ago
Modelling Learning Subjects as Relationships
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is base...
Martin Doerr
122
Voted
IEEECIT
2010
IEEE
14 years 11 months ago
A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems
—In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the...
Zhigang Wen, Chunxiao Fan, Xiaoying Zhang, Yuexin ...
99
Voted
JUCS
2008
100views more  JUCS 2008»
15 years 19 days ago
Stacked Dependency Networks for Layout Document Structuring
: We address the problems of structuring and annotation of layout-oriented documents. We model the annotation problems as the collective classification on graph-like structures wit...
Boris Chidlovskii, Loïc Lecerf
137
Voted
BMVC
2002
15 years 3 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
106
Voted
CMSB
2004
Springer
15 years 6 months ago
Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods
In this paper we present a methodology to estimate rates of enzymatic reactions in metabolic pathways. Our methodology is based on applying stochastic logic learning in ensemble le...
Huma Lodhi, Stephen Muggleton