|
41
|
Bayesian Classification Theory
– Robin Hanson, John Stutz, Peter Cheeseman
- 1991
|
|
7
|
Resolution-Based Complexity Control for Gaussian Mixture Models
– Peter Meinicke, Helge Ritter
- 1999
|
|
|
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory
– Tony Fountain
- 1998
|
|
2
|
Outlier management in intelligent data analysis
– J. Gongxian Cheng
- 2000
|
|
14
|
A Comparison Of Genetic Algorithms And Other Machine Learning Systems On A Complex Classification Task From Common Disease Research
– Clare Bates Congdon, Clare Bates Congdon, Co-chairs John, H. Holl, John E. Laird
- 1995
|
|
|
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES
– Wray Buntine
|
|
402
|
Active Learning with Statistical Models
– David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
- 1995
|
|
156
|
A Guide to the Literature on Learning Probabilistic Networks From Data
– Wray Buntine
- 1996
|
|
|
Bayesian Classification(AutoClass):Theory and Results
– Peter Cheeseman, John Stutz
- 1996
|
|
14
|
Unsupervised Learning and Interactive Jazz/Blues Improvisation
– Belinda Thom
- 2000
|
|
1
|
Log Analysis-Based Intrusion Detection via Unsupervised Learning
– Pingchuan Ma
- 2003
|
|
134
|
Learning with Labeled and Unlabeled Data
– Matthias Seeger
- 2001
|
|
|
The Gap Between the Rich and the Poor: Patterns of Heterogeneity in the Cross-Country Data
– Oya Pınar Ardıç
- 2002
|
|
|
A FRAMEWORK FOR MDL CLUSTERING
– Petri Myllymäki
|
|
10
|
Predictive Data Mining with Finite Mixtures
– Petri Kontkanen, Petri Myllymäki, Henry Tirri
- 1996
|
|
18
|
Constructing Bayesian finite mixture models by the EM algorithm
– Petri Kontkanen, Petri Myllymäki, Henry Tirri
- 1997
|
|
27
|
Bayesian Mixture Modeling by Monte Carlo Simulation
– Radford Neal
- 1991
|
|
635
|
Hierarchical mixtures of experts and the EM algorithm
– Michael I. Jordan
- 1994
|
|
6
|
Probabilistic Curve-Aligned Clustering and Prediction with Regression Mixture Models
– Scott John Gaffney
- 2004
|
