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Machine Learning and Knowledge Discovery in Databases
Modeling Relations and Their Mentions without Labeled Text
other
Author(s):
Sebastian Riedel
,
Limin Yao
,
Andrew McCallum
Publication date
(Print):
2010
Publisher:
Springer Berlin Heidelberg
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There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
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Reviews of mathematical modeling in cancer
Author and book information
Book Chapter
Publication date (Print):
2010
Pages
: 148-163
DOI:
10.1007/978-3-642-15939-8_10
SO-VID:
f9b24e44-42a3-4241-b081-80ab2dec3414
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Book chapters
pp. 99
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
pp. 131
Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs
pp. 148
Modeling Relations and Their Mentions without Labeled Text
pp. 180
Selecting Information Diffusion Models over Social Networks for Behavioral Analysis
pp. 322
Permutation Testing Improves Bayesian Network Learning
pp. 354
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
pp. 547
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
pp. 599
Flu Detector - Tracking Epidemics on Twitter
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