Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Toward Efficient Agnostic Learning
Machine Learning - Special issue on computational learning theory, COLT'92
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
PAC-like upper bounds for the sample complexity of leave-one-out cross-validation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Rigorous learning curve bounds from statistical mechanics
Machine Learning - Special issue on COLT '94
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An approach to guaranteeing generalisation in neural networks
Neural Networks
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Leave-one-out bounds for kernel methods
Neural Computation
The Journal of Machine Learning Research
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
The Journal of Machine Learning Research
Stability of Randomized Learning Algorithms
The Journal of Machine Learning Research
Similarity space projection for web image search and annotation
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Bootstrapping rule induction to achieve rule stability and reduction
Journal of Intelligent Information Systems
Pattern Recognition for Conditionally Independent Data
The Journal of Machine Learning Research
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
The Journal of Machine Learning Research
A finite-sample simulation study of cross validation in tree-based models
Information Technology and Management
A vision system for recognizing objects in complex real images
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Computational Statistics & Data Analysis
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
The Journal of Machine Learning Research
Approximation stability and boosting
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Learnability, Stability and Uniform Convergence
The Journal of Machine Learning Research
Pattern Recognition Letters
Almost-everywhere algorithmic stability and generalization error
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
SIAM Journal on Computing
The bounds on the rate of uniform convergence for learning machine
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Stability and generalization of bipartite ranking algorithms
COLT'05 Proceedings of the 18th annual conference on Learning Theory
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Sequential testing in classifier evaluation yields biased estimates of effectiveness
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Bias-variance tradeoffs in program analysis
Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages
Uniform convergence, stability and learnability for ranking problems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Generalization Bounds of Regularization Algorithm with Gaussian Kernels
Neural Processing Letters
Technology and Health Care
| Hi-index | 0.00 |