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» Decision Making Using Probabilistic Inference Methods
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ISER
2000
Springer
147views Robotics» more  ISER 2000»
15 years 1 months ago
Incorporation of Delayed Decision Making into Stochastic Mapping
Abstract: This paper presents a technique for incorporating delayed decision making into stochastic mapping algorithms for concurrent mapping and localization. The approach explici...
John J. Leonard, Richard J. Rikoski
67
Voted
COR
2008
66views more  COR 2008»
14 years 9 months ago
A multi-objective model for environmental investment decision making
Investment in landscapes to achieve outcomes that have multiple environmental benefits has become a major priority in many countries. This gives rise to opportunities for mathemat...
Andrew J. Higgins, Stefan Hajkowicz, Elisabeth N. ...
CVPR
2008
IEEE
15 years 11 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
POPL
2011
ACM
14 years 15 days ago
Making prophecies with decision predicates
We describe a new algorithm for proving temporal properties expressed in LTL of infinite-state programs. Our approach takes advantage of the fact that LTL properties can often be...
Byron Cook, Eric Koskinen
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny