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AAAI
2006
15 years 3 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
112
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ACL
2006
15 years 3 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
ISLPED
2010
ACM
205views Hardware» more  ISLPED 2010»
15 years 1 months ago
Peak power modeling for data center servers with switched-mode power supplies
Accurately modeling server power consumption is critical in designing data center power provisioning infrastructure. However, to date, most research proposals have used average CP...
David Meisner, Thomas F. Wenisch
BMCBI
2008
136views more  BMCBI 2008»
15 years 1 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
ICMLC
2010
Springer
14 years 11 months ago
Data mining model in analyzing portuguese studies as the second language acquisition
: Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
Sam Chao, Fai Wong, CustoDio Cavaco Martins