Bayesian Networks for Lossless Dataset Compression (1999)

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by Scott Davies , Andrew Moore
Venue:IN CONFERENCE ON KNOWLEDGE DISCOVERY IN DATABASES (KDD
Citations:7 - 2 self

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3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
7 Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables – Scott Davies, Andrew Moore - 2000
34 Practical Implementations of Arithmetic Coding – Paul G. Howard, Jeffrey Scott Vitter - 1992
181 Learning Bayesian network structure from massive datasets: The “sparse candidate” algorithm – Nir Friedman - 1999
17 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006
3 Lossy Compression in Near-Linear Time via Efficient Random Codebooks and Databases – Christos Gioran, Ioannis Kontoyiannis, Senior Member - 904
1 Information Theory and Its Application to Image Coding – Y. -kheong Chee - 1995
87 Data Compression – Debra A. Lelewer, Daniel S. Hirschberg - 1987
6 Lossless Compression for Text and Images – Alistair Moffat, Timothy C. Bell, Ian H. Witten - 1995
Learning Optimal Bayesian Networks: A Shortest Path Perspective – Changhe Yuan, Brandon Malone
3 Finite Mixture Model of Bounded Semi-Naive Bayesian Networks for Classification – Kaizhu Huang, Irwin King, Michael R. Lyu - 2003
10 Learning Bayesian Network Classifiers: Searching . . . – Silvia Acid, Luis M. De Campos, Javier G. Castellano - 2005
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
4 Netcube: A scalable tool for fast data mining and compression – Dimitris Margaritis, Christos Faloutsos, Sebastian Thrun - 2001
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
76 The max-min hill-climbing bayesian network structure learning algorithm – Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis - 2006
46 Ordering-based search: A simple and effective algorithm for learning Bayesian networks – Marc Teyssier - 2005
8 Pattern inference theory: A probabilistic approach to vision – Daniel Kersten, Paul Schrater - 2002
238 Learning Bayesian Networks With Local Structure – Nir Friedman, Moises Goldszmidt - 1996