A Bayesian model of plan recognition
Artificial Intelligence
The automated mapping of plans for plan recognition
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
On the Recognition of Abstract Markov Policies
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Probabilistic State-Dependent Grammars for Plan Recognition
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Hierarchical control and learning for markov decision processes
Hierarchical control and learning for markov decision processes
Probabilistic grammars for plan recognition
Probabilistic grammars for plan recognition
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
A new model of plan recognition
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Accounting for context in plan recognition, with application to traffic monitoring
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Multiagent coordination by Extended Markov Tracking
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A cost minimization approach to human behavior recognition
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Robot introspection through learned hidden Markov models
Artificial Intelligence
Learning the structure of task-driven human-human dialogs
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning and inferring transportation routines
Artificial Intelligence
Inferring intentions in generic context-aware systems
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
A dynamic decision network framework for online media adaptation in stroke rehabilitation
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Spatially Constrained Grammars for Mobile Intention Recognition
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
An algorithm for analyzing personalized online commercial intention
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Plan recognition for interface agents
Artificial Intelligence Review
Learning Behaviors Models for Robot Execution Control
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Hierarchical hidden Markov models with general state hierarchy
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Assessing the complexity of plan recognition
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Simultaneous team assignment and behavior recognition from spatio-temporal agent traces
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Case-Based Reasoning in Transfer Learning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Incremental parsing models for dialog task structure
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Multiple-goal recognition from low-level signals
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
Joint learning user's activities and profiles from GPS data
Proceedings of the 2009 International Workshop on Location Based Social Networks
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Fast and complete symbolic plan recognition
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Robot introspection through learned hidden Markov models
Artificial Intelligence
Goal recognition with variable-order Markov models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Abnormal activity recognition based on HDP-HMM models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Active-learning assisted self-reconfigurable activity recognition in a dynamic environment
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
An intrusive intention recognition model based on network security states graph
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Towards an integrated approach for task modeling and human behavior recognition
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
A hybrid controller based on the egocentric perceptual principle
Robotics and Autonomous Systems
Situation-specific intention recognition for human-robot cooperation
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
A plan classifier based on Chi-square distribution tests
Intelligent Data Analysis
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
Abductive plan recognition by extending Bayesian logic programs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Activity Recognition for Dynamic Multi-Agent Teams
ACM Transactions on Intelligent Systems and Technology (TIST)
Plan recognition in exploratory domains
Artificial Intelligence
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
Multi-agent plan recognition with partial team traces and plan libraries
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Goal recognition over POMDPs: inferring the intention of a POMDP agent
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
User-dependent aspect model for collaborative activity recognition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Evaluating the robustness of activity recognition using computational causal behavior models
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
A Markov logic framework for recognizing complex events from multimodal data
Proceedings of the 15th ACM on International conference on multimodal interaction
Action-model acquisition from noisy plan traces
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
State-of-the-art of intention recognition and its use in decision making
AI Communications
Intelligent Decision Technologies
| Hi-index | 0.00 |
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...