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ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
15 years 5 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 6 days ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BIOSYSTEMS
2007
91views more  BIOSYSTEMS 2007»
14 years 12 months ago
A neural model of feature attention in motion perception
We utilize a model of motion perception to link a physiological study of feature attention in cortical motion processing to a psychophysical experiment of motion perception. We ex...
Pierre Bayerl, Heiko Neumann
CHI
1997
ACM
15 years 4 months ago
Computational Models of Information Scent-Following in a Very Large Browsable Text Collection
An ecological-cognitive framework of analysis and a model-tracing architecture are presented and used in the analysis of data recorded from users browsing a large document collect...
Peter Pirolli
NIPS
2007
15 years 1 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu