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NAACL
2003
15 years 7 months ago
Automatically Predicting Information Quality in News Documents
We report here empirical results of a series of studies aimed at automatically predicting information quality in news documents. Multiple research methods and data analysis techni...
Rong Tang, Kwong Bor Ng, Tomek Strzalkowski, Paul ...
MICCAI
2005
Springer
16 years 7 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
BMCBI
2008
131views more  BMCBI 2008»
15 years 6 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
FUIN
2008
99views more  FUIN 2008»
15 years 6 months ago
Effective Prediction of Web User Behaviour with User-Level Models
The paper concerns the problem of predicting behaviour of web users, based on real historical data which constitutes an important issue in web mining. The research reported here wa...
Krzysztof Dembczynski, Wojciech Kotlowski, Marcin ...
ICML
2010
IEEE
15 years 4 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup