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» Hierarchical Unsupervised Learning
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ICCV
2005
IEEE
14 years 2 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
WMTE
2002
IEEE
14 years 1 months ago
KLeOS: A Personal, Mobile, Knowledge and Learning Organisation System
The design of a personal, mobile Knowledge and Learning Organisation System (KLeOS) is described. Studies of adult learning practice showed [1] that learning activity is mobile be...
Giasemi N. Vavoula, Mike Sharples
ICML
2004
IEEE
14 years 9 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
ICML
2007
IEEE
14 years 9 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ICML
2005
IEEE
14 years 9 months ago
A causal approach to hierarchical decomposition of factored MDPs
We present Variable Influence Structure Analysis, an algorithm that dynamically performs hierarchical decomposition of factored Markov decision processes. Our algorithm determines...
Anders Jonsson, Andrew G. Barto