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» An Introduction to Learning Structured Information
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BMCBI
2011
14 years 4 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 4 months ago
Robust web extraction: an approach based on a probabilistic tree-edit model
On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
Nilesh N. Dalvi, Philip Bohannon, Fei Sha
NIPS
2003
14 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
WWW
2002
ACM
15 years 10 months ago
Accelerated focused crawling through online relevance feedback
The organization of HTML into a tag tree structure, which is rendered by browsers as roughly rectangular regions with embedded text and HREF links, greatly helps surfers locate an...
Soumen Chakrabarti, Kunal Punera, Mallela Subraman...
PRICAI
2004
Springer
15 years 3 months ago
A Multi-strategy Approach for Catalog Integration
When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two ca...
Ryutaro Ichise, Masahiro Hamasaki, Hideaki Takeda