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ECAI
2004
Springer
15 years 10 months ago
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
Linda C. van der Gaag, Eveline M. Helsper
CVPR
2007
IEEE
16 years 8 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ACL
2011
14 years 9 months ago
Fine-Grained Class Label Markup of Search Queries
We develop a novel approach to the semantic analysis of short text segments and demonstrate its utility on a large corpus of Web search queries. Extracting meaning from short text...
Joseph Reisinger, Marius Pasca
SEDE
2007
15 years 7 months ago
A software tool for optimal class-hierarchy design based on the use-relationship among functions and variables
We present a software tool for creating an optimal classhierarchy from the use-relationship among data-items and functions based on the method in Kundu and Gwee [3]. The tool dete...
Nigel Gwee, Sukhamay Kundu
RECOMB
2004
Springer
16 years 6 months ago
A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs
The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algori...
Haifeng Li, Tao Jiang