models for classification and discrimination with application to classifying web documents
|
4344
|
Maximum likelihood from incomplete data via the EM algorithm
– Dempster, Laird, et al.
- 1977
|
|
1453
|
Bagging Predictors
– Breiman
- 1996
|
|
716
|
A K-means clustering algorithm
– HARTIGAN, WONG
- 1979
|
|
575
|
Combining labeled and unlabeled data with co-training
– Blum, Mitchell
- 1998
|
|
543
|
Additive logistic regression: a statistical view of boosting
– Friedman, Hastie, et al.
|
|
483
|
Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
– Schapire, Freund, et al.
- 1997
|
|
477
|
A comparison of event models for Naive Bayes text classification
– McCallum, Nigam
- 1998
|
|
454
|
Text classification from labeled and unlabeled documents using EM
– Nigam, McCallum, et al.
|
|
334
|
On the optimality of the simple bayesian classifier under zero-one loss
– Domingos, Pazzani
- 1997
|
|
207
|
Discriminant analysis and statistical pattern recognition
– McLachlan
- 1992
|
|
154
|
Learning to construct knowledge bases from the World Wide Web
– Craven, DiPasquo, et al.
- 2000
|
|
151
|
On bias, variance, 0/1 - loss, and the curse-of-dimensionality
– Friedman
- 1997
|
|
134
|
Bias plus variance decomposition for zero-one loss functions
– Kohavi, Wolpert
- 1996
|
|
39
|
The role of unlabeled data in supervised learning
– Mitchell
- 1999
|
|
28
|
Cross-validation and the bootstrap: estimating the error rate of a prediction rule
– EFRON, TIBSHIRANI
- 1995
|
|
25
|
Bias, variance and prediction error for classification rules
– Tibshirani
- 1996
|
|
18
|
Using adaptive bagging to debias regression
– Breiman
- 1999
|
|
18
|
A first course in multivariate statistics
– Flury
- 1997
|
|
10
|
Central Limit Theorems for Multinomial Sums
– Morris
- 1975
|
|
5
|
Combining classifiers via discretization
– Mojirsheibani
- 1999
|
|
3
|
Machine learning bias, statistical bias, and statistical variance of decision tree algorithms
– Kong
- 1995
|
|
3
|
Discrete Discriminant Analysis
– Goldstein, Dillon
- 1978
|
|
2
|
Learning to extract knowledge from the world wide web
– Craven, DiPasquo, et al.
- 1998
|
|
1
|
Learning text from the web: An application of classification methods
– Salvatierra
- 1999
|