|
3214
|
C4.5: Programs for Machine Learning
– Quinlan
- 1993
|
|
3051
|
Neural Networks for Pattern Recognition
– Bishop
- 1995
|
|
2138
|
Learning Internal Representations by Error Propagation
– Rumelhart, Hinton, et al.
- 1986
|
|
2138
|
UCI Repository of Machine Learning Databases
– Merz, Murphy
- 1996
|
|
1453
|
Bagging Predictors
– Breiman
- 1996
|
|
1133
|
A decision-theoretic generalization of on-line learning and an application to boosting
– Freund, Schapire
- 1997
|
|
1004
|
Experiments with a new boosting algorithm
– Freund, Schapire
- 1996
|
|
982
|
Support-vector networks
– Cortes, Vapnik
- 1995
|
|
593
|
Hierarchical Mixtures of Experts and the EM algorithm
– Jordan, Jacobs
- 1993
|
|
569
|
Adaptive Mixture of Local Experts
– Jacobs, Jordan, et al.
- 1991
|
|
308
|
Neural network ensembles, cross validation, and active learning
– Krogh, Vedelsby
- 1995
|
|
179
|
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
– Bridle
- 1990
|
|
154
|
Task decomposition through competition in a modular connectionist architecture: the what and where vision tasks
– Jacobs, Jordan, et al.
- 1991
|
|
84
|
PROBEN1 — A set of benchmarks and benchmarking rules for neural network training algorithms
– Prechelt
- 1994
|
|
82
|
Generating accurate and diverse members of a neural-network ensemble
– Opitz, Shavlik
- 1996
|
|
78
|
Boosting and other ensemble methods
– Drucker, Cortes, et al.
- 1994
|
|
66
|
Hierarchies of adaptive experts
– Jordan, Jacobs
- 1992
|
|
62
|
Ensemble learning using decorrelated neural networks
– Rosen
- 1996
|
|
49
|
An alternative model for mixtures of experts
– Xu, Jordan, et al.
- 1995
|
|
47
|
Improving regressors using boosting techniques
– Drucker
- 1997
|
|
46
|
The meta-pi network: building distributed knowledge representations for robust multisource pattern recognition
– Hampshire, Waibel
- 1992
|
|
37
|
Stacked generalization, Neural Networks 5
– Wolpert
- 1992
|
|
29
|
Task Decomposition and Module Combination Based on Class Relations: A Modular Neural Network for Pattern Classification
– Lu, Ito
- 1999
|
|
26
|
Arcing Classi
– Breiman
- 1996
|
|
26
|
Classification and Regression Trees. Wadsworth and Brooks/Cole
– Breiman, Friedman, et al.
- 1984
|
|
12
|
Generalizations of the bias/variance decomposition for prediction error, http://stat.stanford.edu/ gareth
– James, Hastie
- 1997
|
|
10
|
Stacked Density Estimation
– Smyth, Wolpert
- 1998
|
|
6
|
Structural adaptation in mixture of experts
– Ramamurti, Ghosh
- 1996
|
|
4
|
A new hybrid approach in combining multiple experts to recognise hanwritten numerals
– Rahman, Fairhurst
- 1997
|
|
2
|
Anvendelse af neurale netvrk til registrering af hjernebilleder fra positron emissions tomogra
– Munk
- 1998
|
|
2
|
Experiments with a New Boosting Algorithm. Machine Learning: Proceeding on the thirteenth Conference
– Freund, Schapire
- 1996
|
|
1
|
Smoothing techniques with implementation in s
– ardle, W
- 1990
|
|
