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» Learning to learn with the informative vector machine
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POLICY
2004
Springer
14 years 2 months ago
DecisionQoS: An Adaptive, Self-Evolving QoS Arbitration Module for Storage Systems
As a consequence of the current trend towards consolidating computing, storage and networking infrastructures into large centralized data centers, applications compete for shared ...
Sandeep Uttamchandani, Guillermo A. Alvarez, Gul A...
WECWIS
2003
IEEE
90views ECommerce» more  WECWIS 2003»
14 years 2 months ago
A Web Agent for Automating E-Commerce Operations
The great amount of information that a user handles in their typical transactions on the Internet –identifiers, addresses, credit card numbers, among others-, makes it necessary...
Juan Raposo, Manuel Álvarez, Ángel V...
ITCC
2002
IEEE
14 years 2 months ago
Taxonomy-based Adaptive Web Search Method
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...
Said Mirza Pahlevi, Hiroyuki Kitagawa
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
14 years 1 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
SIGIR
1998
ACM
14 years 1 months ago
Boosting and Rocchio Applied to Text Filtering
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...
Robert E. Schapire, Yoram Singer, Amit Singhal