Journal of Computer and System Sciences
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Boosting and Rocchio applied to text filtering
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Information Retrieval
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Filtering-Ranking Perceptron Learning for Partial Parsing
Machine Learning
Ranking and Reranking with Perceptron
Machine Learning
Learning as search optimization: approximate large margin methods for structured prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Learning a perceptron-based named entity chunker via online recognition feedback
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
NEWPAR: an automatic feature selection and weighting schema for category ranking
Proceedings of the 2006 ACM symposium on Document engineering
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
Fast learning of document ranking functions with the committee perceptron
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
On updates that constrain the features' connections during learning
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Label ranking by learning pairwise preferences
Artificial Intelligence
Multilabel classification via calibrated label ranking
Machine Learning
Random k-Labelsets: An Ensemble Method for Multilabel Classification
ECML '07 Proceedings of the 18th European conference on Machine Learning
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
Learning semantic relatedness from term discrimination information
Expert Systems with Applications: An International Journal
Advanced online learning for natural language processing
HLT-Tutorials '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Tutorial Abstracts
A Unified Model for Multilabel Classification and Ranking
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Multi-label Classification with Gene Expression Programming
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Automatic Arabic document categorization based on the Naïve Bayes algorithm
Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages
Combination strategies for semantic role labeling
Journal of Artificial Intelligence Research
On predictive accuracy and risk minimization in pairwise label ranking
Journal of Computer and System Sciences
Suggesting email view filters for triage and search
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Efficient online learning and prediction of users' desktop actions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
The Journal of Machine Learning Research
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
The Journal of Machine Learning Research
Mining multi-label concept-drifting data streams using ensemble classifiers
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Mr.KNN: soft relevance for multi-label classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Multilabel classification using error correction codes
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Two stage architecture for multi-label learning
Pattern Recognition
A selective sampling strategy for label ranking
ECML'06 Proceedings of the 17th European conference on Machine Learning
Loss bounds for online category ranking
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Learning label preferences: ranking error versus position error
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Efficient multilabel classification algorithms for large-scale problems in the legal domain
Semantic Processing of Legal Texts
Linear methods for reduction from ranking to multilabel classification
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
An extensive experimental comparison of methods for multi-label learning
Pattern Recognition
MCut: a thresholding strategy for multi-label classification
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Iterative classification for multiple target attributes
Journal of Intelligent Information Systems
Active learning with multi-label SVM classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
| Hi-index | 0.00 |
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stem from recent advances in online learning algorithms. The algorithms are simple to implement and are also time and memory efficient. We provide a unified analysis of the family of algorithms in the mistake bound model. We then discuss experiments with the proposed family of topic-ranking algorithms on the Reuters-21578 corpus and the new corpus released by Reuters in 2000. On both corpora, the algorithms we present achieve state-of-the-art results and outperforms topic-ranking adaptations of Rocchio's algorithm and of the Perceptron algorithm.