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CSCW
2002
ACM
14 years 11 months ago
Conventions and Commitments in Distributed CSCW Groups
Conventions are necessary to establish in any recurrent cooperative arrangement. In electronic work, they are important so as to regulate the use of shared objects. Based on empir...
Gloria Mark
SIGKDD
2000
237views more  SIGKDD 2000»
14 years 11 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
JAIR
1998
198views more  JAIR 1998»
14 years 10 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ML
2007
ACM
106views Machine Learning» more  ML 2007»
14 years 10 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
85
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IJCAT
2010
133views more  IJCAT 2010»
14 years 9 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...