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DCC
2007
IEEE
14 years 7 months ago
Multiple-Description Coding by Dithered Delta-Sigma Quantization
We address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. The inherent redundancy due to oversampling in Delta-Sigma quantization, and ...
Jan Østergaard, Ram Zamir
JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
ICDE
2008
IEEE
149views Database» more  ICDE 2008»
14 years 9 months ago
Monitoring Network Evolution using MDL
Given publication titles and authors, what can we say about the evolution of scientific topics and communities over time? Which communities shrunk, which emerged, and which split, ...
Jure Ferlez, Christos Faloutsos, Jure Leskovec, Du...
KDD
1995
ACM
176views Data Mining» more  KDD 1995»
13 years 11 months ago
MDL-Based Decision Tree Pruning
This paper explores the application of the Minimum Description Length principle for pruning decision trees. We present a new algorithm that intuitively captures the primary goal o...
Manish Mehta 0002, Jorma Rissanen, Rakesh Agrawal
DAGM
2005
Springer
14 years 1 months ago
Agglomerative Grouping of Observations by Bounding Entropy Variation
Abstract. An information theoretic framework for grouping observations is proposed. The entropy change incurred by new observations is analyzed using the Kalman filter update equa...
Christian Beder