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» Improving Mining Quality by Exploiting Data Dependency
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ACL
2006
14 years 11 months ago
A DOM Tree Alignment Model for Mining Parallel Data from the Web
This paper presents a new web mining scheme for parallel data acquisition. Based on the Document Object Model (DOM), a web page is represented as a DOM tree. Then a DOM tree align...
Lei Shi, Cheng Niu, Ming Zhou, Jianfeng Gao
DATE
2005
IEEE
109views Hardware» more  DATE 2005»
15 years 3 months ago
ISEGEN: Generation of High-Quality Instruction Set Extensions by Iterative Improvement
Customization of processor architectures through Instruction Set Extensions (ISEs) is an effective way to meet the growing performance demands of embedded applications. A high-qua...
Partha Biswas, Sudarshan Banerjee, Nikil D. Dutt, ...
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 3 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
RECSYS
2009
ACM
15 years 4 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
159
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VLDB
2006
ACM
162views Database» more  VLDB 2006»
15 years 9 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore