Neural Computation
Data Categorization Using Decision Trellises
IEEE Transactions on Knowledge and Data Engineering
Machine Learning for Sequential Data: A Review
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Bidirectional Dynamics for Protein Secondary Structure Prediction
Sequence Learning - Paradigms, Algorithms, and Applications
Learning kernel-based HMMs for dynamic sequence synthesis
Graphical Models - Special issue on Pacific graphics 2002
The Journal of Machine Learning Research
Sheepdog: learning procedures for technical support
Proceedings of the 9th international conference on Intelligent user interfaces
The Journal of Machine Learning Research
Genetic Evolution Processing of Classification
IEEE Transactions on Knowledge and Data Engineering
Hidden Markov models with states depending on observations
Pattern Recognition Letters
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data
Data Mining and Knowledge Discovery
Augmentation-based learning: combining observations and user edits for programming-by-demonstration
Proceedings of the 11th international conference on Intelligent user interfaces
Universal Approximation Capability of Cascade Correlation for Structures
Neural Computation
2005 Special Issue: Learning protein secondary structure from sequential and relational data
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Learning executable agent behaviors from observation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Proceedings of the 12th international conference on Intelligent user interfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convergence in Markovian models with implications for efficiency of inference
International Journal of Approximate Reasoning
Probabilistic based recursive model for adaptive processing of data structures
Expert Systems with Applications: An International Journal
Computer Vision and Image Understanding
Connection Science - Music, Brain, Cognition
STARS: Sign tracking and recognition system using input-output HMMs
Pattern Recognition Letters
Probabilistic models for melodic prediction
Artificial Intelligence
Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Feature Fusion Applied to Missing Data ASR with the Combination of Recognizers
Journal of Signal Processing Systems
Sheepdog, parallel collaborative programming-by-demonstration
Knowledge-Based Systems
Conformation-based hidden Markov models: application to human face identification
IEEE Transactions on Neural Networks
A generic framework for mobility prediction and resource utilization in wireless networks
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
Movement prediction in wireless networks using mobility traces
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Value directed learning of gestures and facial displays
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
Neuro-genetic system for stock index prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Review article: Human scalp EEG processing: Various soft computing approaches
Applied Soft Computing
Boosting input/output hidden markov models for sequence classification
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Feature extraction for decision-theoretic planning in partially observable environments
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Similarity-based alignment and generalization
ECML'05 Proceedings of the 16th European conference on Machine Learning
DTW based clustering to improve hand gesture recognition
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
An input-output hidden Markov model for tree transductions
Neurocomputing
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We consider problems of sequence processing and propose a solution based on a discrete-state model in order to represent past context. We introduce a recurrent connectionist architecture having a modular structure that associates a subnetwork to each state. The model has a statistical interpretation we call input-output hidden Markov model (IOHMM). It can be trained by the estimation-maximization (EM) or generalized EM (GEM) algorithms, considering state trajectories as missing data, which decouples temporal credit assignment and actual parameter estimation. The model presents similarities to hidden Markov models (HMMs), but allows us to map input sequences to output sequences, using the same processing style as recurrent neural networks. IOHMMs are trained using a more discriminant learning paradigm than HMMs, while potentially taking advantage of the EM algorithm. We demonstrate that IOHMMs are well suited for solving grammatical inference problems on a benchmark problem. Experimental results are presented for the seven Tomita grammars, showing that these adaptive models can attain excellent generalization