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NIPS
2008
15 years 8 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
BIOCOMP
2006
15 years 8 months ago
Polyome: A Learning System for Extracting Bioinformatic Data
: The exponential growth in the quantity of publicly available genetic data and the proliferation of bioinformatic databases mean that scientists need computerized tools more than ...
Bob Myers, Trevor I. Dix, Ross L. Coppel, David G....
DSS
2008
116views more  DSS 2008»
15 years 7 months ago
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requiremen...
Paolo Giorgini, Stefano Rizzi, Maddalena Garzetti
ADCM
2000
45views more  ADCM 2000»
15 years 6 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
SEMWEB
2010
Springer
15 years 4 months ago
SameAs Networks and Beyond: Analyzing Deployment Status and Implications of owl: sameAs in Linked Data
Millions of owl:sameAs statements have been published on the Web of Data. Due to its unique role and heavy usage in Linked Data integration, owl:sameAs has become a topic of increa...
Li Ding, Joshua Shinavier, Zhenning Shangguan, Deb...