[PDF] Improving
Hybrid MDS with Pivot-Based Searching
Abstract
|
PDF
Bozhena Bidyuk, and Rina Dechter. "An Empirical Study of w-Cutset
Sampling for Bayesian Networks". .In Uncertainty in
AI, UAI-2003
Abstract
|
PostScript |
PDF
Bozhena Bidyuk, and Rina Dechter. "Cycle-Cutset sampling for
Bayesian Networks", to be published in the Canadian AI
conerence, June 2003.
Thomas Hofmann, Lijuan Cai, and Massimiliano
Ciaramita,"Learning with Taxonomies: Classifying
Documents and Words," Workshop on Syntax, Semantics, and
Statistics, Neural Information
Processing (NIPS), pdf
All of the papers below can be found here
Leon Bottou, Yann LeCun,
Large Scale Online Learning
Charles C. Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum Semi-Supervised Learning with Trees
Ting Liu, Andrew W. Moore, Alex Gray "New Algorithms for Efficient High Dimensional Non-parametric Classification
Deva Ramanan, David A. Forsyth "Automatic Annotation of Everyday Movements
Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
Marian S. Bartlett, Gwen Litttlewort, Ian Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro, Javier R. Movellan Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Facial Expression Classification
Francis R. Bach, Michael I. Jordan Learning Spectral Clustering
Neil D. Lawrence Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
XuanLong Nguyen, Michael I. Jordan On the Concentration of Expectation and Approximate Inference in Layered Networks
Alex J. Smola, S. V. N. Vishwanathan, Eleazar Eskin Laplace Propagation
Volker Roth, Tilman Lange Feature Selection in Clustering Problems
Victor Lavrenko, Raghavan Manmatha, Jiwoon Jeon A Model for Learning the Semantics of Pictures
|