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» Planning with Partial Preference Models
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HCI
2009
13 years 6 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...
UIST
2003
ACM
14 years 1 months ago
Rhythm modeling, visualizations and applications
People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling t...
James Begole, John C. Tang, Rosco Hill
WSC
2008
13 years 10 months ago
Simulating order fulfillment and supply planning for a vertically aligned industry solution business
We model supply chain of an industry solution equipment manufacturer, where the merchandise is sold worldwide, but suppliers are mostly located in Asia. The preferred shipment of ...
Feng Cheng, Young M. Lee, Hongwei Ding, Wei Wang, ...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 3 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ATAL
2006
Springer
14 years 6 days ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....