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ACL
2012
13 years 9 days ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
RECOMB
2012
Springer
13 years 9 days ago
Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem
Signaling networks are essential for cells to control processes such as growth and response to stimuli. Although many “omic” data sources are available to probe signaling pathw...
Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani...
BMCBI
2011
14 years 4 months ago
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
CVPR
2004
IEEE
15 years 12 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
WWW
2009
ACM
15 years 10 months ago
Social search in "Small-World" experiments
The "algorithmic small-world hypothesis" states that not only are pairs of individuals in a large social network connected by short paths, but that ordinary individuals ...
Sharad Goel, Roby Muhamad, Duncan J. Watts