Bias-Variance Analysis and Ensembles of SVM
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Boosting and Classification of Electronic Nose Data
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Accurate decision trees for mining high-speed data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
The Journal of Machine Learning Research
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Swarm bias-variance analysis of an evolutionary neural network classifier
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Using diversity of errors for selecting members of a committee classifier
Pattern Recognition
Decision trees for mining data streams
Intelligent Data Analysis
Stability of feature selection algorithms: a study on high-dimensional spaces
Knowledge and Information Systems
Comparison of tree and graph encodings as function of problem complexity
Proceedings of the 9th annual conference on Genetic and evolutionary computation
A lazy bagging approach to classification
Pattern Recognition
Data & Knowledge Engineering
Practical Bias Variance Decomposition
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
On Feature Selection, Bias-Variance, and Bagging
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Combining learning constraints and numerical regression
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Accurate and efficient processor performance prediction via regression tree based modeling
Journal of Systems Architecture: the EUROMICRO Journal
Zone analysis: a visualization framework for classification problems
Artificial Intelligence Review
Ensemble gene selection by grouping for microarray data classification
Journal of Biomedical Informatics
Stop wasting time: on predicting the success or failure of learning for industrial applications
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
Bias and variance of rotation-based ensembles
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Two New Prediction-Driven Approaches to Discrete Choice Prediction
ACM Transactions on Management Information Systems (TMIS)
Neighborhood random classification
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A few useful things to know about machine learning
Communications of the ACM
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
To personalize or not: a risk management perspective
Proceedings of the 7th ACM conference on Recommender systems
Artificial Intelligence Review
Hi-index | 0.02 |