Sciweavers

791 search results - page 32 / 159
» Learning Probabilistic Ontologies with Distributed Parameter...
Sort
View
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 3 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
COLT
1998
Springer
14 years 1 months ago
Learning One-Variable Pattern Languages in Linear Average Time
A new algorithm for learning one-variable pattern languages is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into...
Rüdiger Reischuk, Thomas Zeugmann
CVPR
2003
IEEE
14 years 11 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
JMLR
2007
87views more  JMLR 2007»
13 years 8 months ago
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
Sanjoy Dasgupta, Leonard J. Schulman
SOFTWARE
2002
13 years 8 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer