On the learnability and usage of acyclic probabilistic finite automata
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning bias and phonological-rule induction
Computational Linguistics
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
An introduction to hidden Markov models and Bayesian networks
Hidden Markov models
Stochastic Inference of Regular Tree Languages
Machine Learning
Hidden Markov Models for Text Categorization in Multi-Page Documents
Journal of Intelligent Information Systems
Evolving the Topology of Hidden Markov Models Using Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Role Identification from Free Text Using Hidden Markov Models
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
A Hidden Markov Model-Based Approach to Sequential Data Clustering
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A sequential pruning strategy for the selection of the number of states in hidden Markov models
Pattern Recognition Letters
A Model Selection Criterion for Classification: Application to HMM Topology Optimization
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Anomaly detection of web-based attacks
Proceedings of the 10th ACM conference on Computer and communications security
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Assistants for Analyzing Team Behaviors
Autonomous Agents and Multi-Agent Systems
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
On the structure of hidden Markov models
Pattern Recognition Letters
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Analyzing Gene Expression Time-Courses
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A multi-model approach to the detection of web-based attacks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
Bayesian hierarchical clustering
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Hidden Markov Model approach for appearance-based 3D object recognition
Pattern Recognition Letters
Anomalous system call detection
ACM Transactions on Information and System Security (TISSEC)
Robot introspection through learned hidden Markov models
Artificial Intelligence
Unsupervised scene analysis: a hidden Markov model approach
Computer Vision and Image Understanding
Investigating hidden Markov models capabilities in anomaly detection
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
Proceedings of the 24th international conference on Machine learning
Intentional motion on-line learning and prediction
Machine Vision and Applications
Computational Linguistics
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Diffusion of context and credit information in Markovian models
Journal of Artificial Intelligence Research
Challenge: what is the impact of Bayesian networks on learning?
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
International Journal of Robotics Research
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Robot introspection through learned hidden Markov models
Artificial Intelligence
A multi-model approach to the detection of web-based attacks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
Unsupervised scene analysis: A hidden Markov model approach
Computer Vision and Image Understanding
Similarity-based clustering of sequences using hidden Markov models
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
A Markovian approach for web user profiling and clustering
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Exploiting execution context for the detection of anomalous system calls
RAID'07 Proceedings of the 10th international conference on Recent advances in intrusion detection
Comparing anomaly detection techniques for HTTP
RAID'07 Proceedings of the 10th international conference on Recent advances in intrusion detection
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Sticky hidden Markov modeling of comparative genomic hybridization
IEEE Transactions on Signal Processing
A trigram hidden Markov model for metadata extraction from heterogeneous references
Information Sciences: an International Journal
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Metadata extraction from bibliographies using bigram HMM
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
PAC-Learning of markov models with hidden state
ECML'06 Proceedings of the 17th European conference on Machine Learning
A learning-based approach to the detection of SQL attacks
DIMVA'05 Proceedings of the Second international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Summarization-based mining bipartite graphs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Enabling OS research by inferring interactions in the black-box GPU stack
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
Self-Organizing Hidden Markov Model Map (SOHMMM)
Neural Networks
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