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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 10 months 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
ACL
1992
13 years 11 months ago
Right Association Revisited
Consideration of when Right Association works and when it fails lead to a restatement of this parsing principle in terms of the notion of heaviness. A computational investigation ...
Michael Niv
CVIU
2006
107views more  CVIU 2006»
13 years 10 months ago
Testing new variants of the Beckmann-Kirchhoff model against radiance data
In this paper, we explore whether the Fresnel term can be used to improve the predictions of the Beckmann
Hossein Ragheb, Edwin R. Hancock
ECIR
2009
Springer
14 years 7 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis