Making large-scale support vector machine learning practical
Advances in kernel methods
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Extensions to EM and Multinomial PCA
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
The Journal of Machine Learning Research
Expectation-propagation for the generative aspect model
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Combining Topic Models and Social Networks for Chat Data Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Exploring Independent Trends in a Topic-Based Search Engine
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A temporally adaptive content-based relevance ranking algorithm
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-faceted information retrieval system for large scale email archives
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-way distributional clustering via pairwise interactions
ICML '05 Proceedings of the 22nd international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
The rate adapting poisson model for information retrieval and object recognition
ICML '06 Proceedings of the 23rd international conference on Machine learning
Inference and evaluation of the multinomial mixture model for text clustering
Information Processing and Management: an International Journal
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proceedings of the 24th international conference on Machine learning
Generalized component analysis for text with heterogeneous attributes
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Using LDA to detect semantically incoherent documents
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Semi-supervised sequence modeling with syntactic topic models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
Estimating Likelihoods for Topic Models
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Using Topic Models to Interpret MEDLINE's Medical Subject Headings
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
An efficient and accurate graph-based approach to detect population substructure
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Evaluating topic models for digital libraries
Proceedings of the 10th annual joint conference on Digital libraries
Wordica: Emergence of linguistic representations for words by independent component analysis
Natural Language Engineering
Automatic evaluation of topic coherence
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Topic models conditioned on relations
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Towards association rules with hidden variables
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
ICA-Based binary feature construction
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Cross-domain collaboration recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for automated construction of resource space based on background knowledge
Future Generation Computer Systems
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Methods for analysis of principal components in discrete data have existed for some time under various names such as grade of membership modelling, probabilistic latent semantic analysis, and genotype inference with admixture. In this paper we explore a number of extensions to the common theory, and present some application of these methods to some common statistical tasks. We show that these methods can be interpreted as a discrete version of ICA. We develop a hierarchical version yielding components at different levels of detail, and additional techniques for Gibbs sampling. We compare the algorithms on a text prediction task using support vector machines, and to information retrieval.