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BMCBI
2008
139views more  BMCBI 2008»
13 years 7 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
TCSV
2010
13 years 2 months ago
No-Reference Quality Assessment of H.264/AVC Encoded Video
Abstract--This paper proposes a no-reference quality assessment metric for digital video subject to H.264/AVC encoding. The proposed metric comprises two main steps: coding error e...
Tomás Brandão, Tiago Rosa Maria Paul...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 8 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
PRL
2000
76views more  PRL 2000»
13 years 7 months ago
Road sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
Pavel Paclík, Jana Novovicová, Pavel...
ACL
2009
13 years 5 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum