Introduction to the theory of neural computation
Introduction to the theory of neural computation
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Representation and learning in information retrieval
Representation and learning in information retrieval
Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Towards language independent automated learning of text categorization models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
The nature of statistical learning theory
The nature of statistical learning theory
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Neural networks for pattern recognition
Neural networks for pattern recognition
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Information Retrieval
Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
A Linear Least Squares Fit mapping method for information retrieval from natural language texts
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
A bootstrap evaluation of the effect of data splitting on financial time series
IEEE Transactions on Neural Networks
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Text classification in a hierarchical mixture model for small training sets
Proceedings of the tenth international conference on Information and knowledge management
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Simple and accurate feature selection for hierarchical categorisation
Proceedings of the 2002 ACM symposium on Document engineering
Hierarchical Text Categorization Using Neural Networks
Information Retrieval
A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections
Journal of Intelligent Information Systems
Webmining: learning from the world wide web
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Text categorization based on k-nearest neighbor approach for web site classification
Information Processing and Management: an International Journal
Web page feature selection and classification using neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Predicting library of congress classifications from library of congress subject headings
Journal of the American Society for Information Science and Technology
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Large margin hierarchical classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Blocking Reduction Strategies in Hierarchical Text Classification
IEEE Transactions on Knowledge and Data Engineering
Hierarchical document categorization with support vector machines
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Automatic Category Theme Identification and Hierarchy Generation for Chinese Text Categorization
Journal of Intelligent Information Systems
Mining logs files for data-driven system management
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Two-stage statistical language models for text database selection
Information Retrieval
Comparison of extreme learning machine with support vector machine for text classification
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Acclimatizing Taxonomic Semantics for Hierarchical Content Classification
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Expert Systems with Applications: An International Journal
Classifying web documents in a hierarchy of categories: a comprehensive study
Journal of Intelligent Information Systems
Expert Systems with Applications: An International Journal
Training Classifiers for Tree-structured Categories with Partially Labeled Data
Journal of VLSI Signal Processing Systems
Hierarchical document classification using automatically generated hierarchy
Journal of Intelligent Information Systems
Reconstructing ddc for interactive classification
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
A comparative study of two automatic document classification methods in a library setting
Journal of Information Science
Hierarchical learning strategy in semantic relation extraction
Information Processing and Management: an International Journal
Boosting multi-label hierarchical text categorization
Information Retrieval
Hierarchical SVM Classification for Localization in Multilevel Sensor Networks
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Query based optimal web site clustering using simulated annealing
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Multiple hierarchical classification of free-text clinical guidelines
Artificial Intelligence in Medicine
An extensive study on automated Dewey Decimal Classification
Journal of the American Society for Information Science and Technology
Hierarchical multi-class text categorization with global margin maximization
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Expert Systems with Applications: An International Journal
A Study of Hierarchical and Flat Classification of Proteins
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
A survey of hierarchical classification across different application domains
Data Mining and Knowledge Discovery
Hierarchical text classification with latent concepts
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Multilingual document mining and navigation using self-organizing maps
Information Processing and Management: an International Journal
Journal of Data and Information Quality (JDIQ)
Item categorization in the e-commerce domain
Proceedings of the 20th ACM international conference on Information and knowledge management
TreeBoost.MH: a boosting algorithm for multi-label hierarchical text categorization
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
An online algorithm for hierarchical phoneme classification
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Large-scale item categorization for e-commerce
Proceedings of the 21st ACM international conference on Information and knowledge management
Qualitative organization of collections of shapes via quartet analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Minimizer of the Reconstruction Error for multi-class document categorization
Expert Systems with Applications: An International Journal
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With the recent dramatic increase in electronic access todocuments, text categorization—the task of assigning topics to agiven document—has moved to the center of the information sciencesand knowledge management. This article uses the structure that ispresent in the semantic space of topics in order to improveperformance in text categorization: according to their meaning,topics can be grouped together into “meta-topics”, e.g., gold,silver, and copper are all metals. The proposed architecture matchesthe hierarchical structure of the topic space, as opposed to a flatmodel that ignores the structure. It accommodates both single andmultiple topic assignments for each document. Its probabilisticinterpretation allows its predictions to be combined in a principledway with information from other sources. The first level of thearchitecture predicts the probabilities of the meta-topic groups.This allows the individual models for each topic on the second levelto focus on finer discriminations within the group. Evaluating theperformance of a two-level implementation on the Reuters-22173testbed of newswire articles shows the most significant improvementfor rare classes.