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196
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NIPS
2008
15 years 8 months ago
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
174
Voted
NIPS
2007
15 years 8 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
VMV
2008
190views Visualization» more  VMV 2008»
15 years 8 months ago
GPU-Based Streamlines for Surface-Guided 3D Flow Visualization
Visualizing 3D flow fields intrinsically suffers from problems of clutter and occlusion. A common practice to alleviate these issues is to restrict the visualization to feature su...
Markus Üffinger, Thomas Klein, Magnus Strenge...
AAAI
2004
15 years 8 months ago
Hiding Satisfying Assignments: Two Are Better than One
The evaluation of incomplete satisfiability solvers depends critically on the availability of hard satisfiable instances. A plausible source of such instances consists of random k...
Dimitris Achlioptas, Haixia Jia, Cristopher Moore
AAAI
2004
15 years 8 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
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