IEEE Transactions on Pattern Analysis and Machine Intelligence
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Boosting and Rocchio applied to text filtering
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Further results on the margin distribution
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting regression estimators
Neural Computation
Using Decision Trees to Construct a Practical Parser
Machine Learning - Special issue on natural language learning
A simple, fast, and effective rule learner
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Feature selection for ensembles
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A New Method to Increase the Margin of Multilayer Perceptrons
Neural Processing Letters
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
Machine Learning
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine pairwise classifiers with error reduction for image classification
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Solving regression problems with rule-based ensemble classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
SVM binary classifier ensembles for image classification
Proceedings of the tenth international conference on Information and knowledge management
Upper Bounds for Error Rates of Linear Combinations of Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Editorial: Kernel Methods: Current Research and Future Directions
Machine Learning
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
An Instance-Weighting Method to Induce Cost-Sensitive Trees
IEEE Transactions on Knowledge and Data Engineering
Improving nonparametric regression methods by bagging and boosting
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Empirical Study of MetaCost Using Boosting Algorithms
ECML '00 Proceedings of the 11th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Rule-Based Ensemble Solutions for Regression
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Improving the Performance of Boosting for Naive Bayesian Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Classifying Unseen Cases with Many Missing Values
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Margin Distribution Bounds on Generalization
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
A Geometric Approach to Leveraging Weak Learners
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
DS '98 Proceedings of the First International Conference on Discovery Science
DS '98 Proceedings of the First International Conference on Discovery Science
Top-Down Decision Tree Boosting and Its Applications
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Ensemble Methods in Machine Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Support Vector Machines, Kernel Logistic Regression and Boosting
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
MORF: A Distributed Multimodal Information Filtering System
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
An Architecture of a Web-Based Collaborative Image Search Engine
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Boosting Density Function Estimators
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Theoretical Computer Science
Top-down decision tree learning as information based boosting
Theoretical Computer Science
A refinement approach to handling model misfit in text categorization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification
Journal of Mathematical Imaging and Vision
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
MEGA---the maximizing expected generalization algorithm for learning complex query concepts
ACM Transactions on Information Systems (TOIS)
Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The anatomy of a multimodal information filter
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Robust Real-Time Face Detection
International Journal of Computer Vision
Improvement of Boosting Algorithm by Modifying the Weighting Rule
Annals of Mathematics and Artificial Intelligence
Ensemble of Evolving Neural Networks in Classification
Neural Processing Letters
Boosting margin based distance functions for clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Linear-Time Wrappers to Identify Atypical Points: Two Subset Generation Methods
IEEE Transactions on Knowledge and Data Engineering
Ranking and Reranking with Perceptron
Machine Learning
Classifier Fusion Using Shared Sampling Distribution for Boosting
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Neural Computation
Neural Computation
CLAIRE: A modular support vector image indexing and classification system
ACM Transactions on Information Systems (TOIS)
A Comparison of Decision Tree Ensemble Creation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting-based parse reranking with subtree features
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A linear wrapper for sample subset selection in atypical detection
Intelligent Data Analysis
High-Performance Rotation Invariant Multiview Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting for transfer learning
Proceedings of the 24th international conference on Machine learning
AdaRank: a boosting algorithm for information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework
Journal of VLSI Signal Processing Systems
Missing values prediction with K2
Intelligent Data Analysis
An ensemble method in hybrid real-coded genetic algorithm with pruning for data classification
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
A stopping criterion for active learning
Computer Speech and Language
The value of agreement a new boosting algorithm
Journal of Computer and System Sciences
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Boosting Descriptive ILP for Predictive Learning in Bioinformatics
Inductive Logic Programming
Avoiding Boosting Overfitting by Removing Confusing Samples
ECML '07 Proceedings of the 18th European conference on Machine Learning
Improving object detection by removing noisy samples from training sets
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Journal of Computer Security
The individual borrowers recognition: Single and ensemble trees
Expert Systems with Applications: An International Journal
Boosting a fast neural network for supervised land cover classification
Computers & Geosciences
Supervised projection approach for boosting classifiers
Pattern Recognition
Journal of Computer Security - Best papers of the Sec Track at the 2006 ACM Symposium
ODDboost: Incorporating Posterior Estimates into AdaBoost
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Issues in stacked generalization
Journal of Artificial Intelligence Research
Managing domain knowledge and multiple models with boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An ensemble method using hybrid real-coded genetic algorithm with pruning (HRGA/PR)
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Ensemble with neural networks for bankruptcy prediction
Expert Systems with Applications: An International Journal
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
Online adaptive policies for ensemble classifiers
Neurocomputing
Contextual classifier ensembles
BIS'07 Proceedings of the 10th international conference on Business information systems
Human splice site identification with multiclass support vector machines and bagging
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Absolute contrasts in face detection with adaboost cascade
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
SODA-boosting and its application to gender recognition
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Image segmentation algorithms based on the machine learning of features
Pattern Recognition Letters
An EDBoost algorithm towards robust face recognition in JPEG compressed domain
Image and Vision Computing
Active learning with sampling by uncertainty and density for data annotations
IEEE Transactions on Audio, Speech, and Language Processing
Classification of BMD and ADHD patients using their EEG signals
Expert Systems with Applications: An International Journal
A linear combination of classifiers via rank margin maximization
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Learning distance functions for image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An efficient classifier design integrating rough set and set oriented database operations
Applied Soft Computing
An efficient classifier design integrating Rough Set and Dempster-Shafer Theory
International Journal of Artificial Intelligence and Soft Computing
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Inelligent ensemble system aids osteoporosis early detection
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Quadratic error minimization in a distributed environment with privacy preserving
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
PCA enhanced training data for adaboost
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
A bounded version of online boosting on open-ended data streams
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Improving detector of Viola and Jones through SVM
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Uncertainty-based active learning with instability estimation for text classification
ACM Transactions on Speech and Language Processing (TSLP)
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Flexible margin selection for reranking with full pairwise samples
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Subcellular Localization Prediction through Boosting Association Rules
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The value of agreement, a new boosting algorithm
COLT'05 Proceedings of the 18th annual conference on Learning Theory
A primal-dual convergence analysis of boosting
The Journal of Machine Learning Research
Privacy Preserving Aggregation of Secret Classifiers
Transactions on Data Privacy
Bounded-depth threshold circuits for computer-assisted CT image classification
Artificial Intelligence in Medicine
TCSST: transfer classification of short & sparse text using external data
Proceedings of the 21st ACM international conference on Information and knowledge management
A spatial EA framework for parallelizing machine learning methods
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
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