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NIPS
2004
14 years 11 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
RSS
2007
152views Robotics» more  RSS 2007»
14 years 11 months ago
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
COLING
1994
14 years 11 months ago
Chinese Segmentation Disambiguation
A technique of reasoning under uncertainty is studied in all attempt to solve disaml)igua,tion probh;nls of Cilinesc segnlcnliation. A knowlcdge-.I)a,sedinexact reasoning thcory i...
Wanying Jin
107
Voted
KR
2010
Springer
15 years 2 months ago
Probabilistic Description Logics for Subjective Uncertainty
We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
Carsten Lutz, Lutz Schröder
MP
2008
117views more  MP 2008»
14 years 9 months ago
Stochastic programming approach to optimization under uncertainty
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...
Alexander Shapiro