Sciweavers

3677 search results - page 262 / 736
» Is a probabilistic modeling
Sort
View
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
FOSSACS
2012
Springer
14 years 2 months ago
Synthesizing Probabilistic Composers
Synthesis from components is the automated construction of a composite system from a library of reusable components such that the system satisfies the given specification. This i...
Sumit Nain, Moshe Y. Vardi
MLG
2007
Springer
16 years 24 days ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
15 years 11 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
MM
2005
ACM
140views Multimedia» more  MM 2005»
16 years 7 days ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...