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» A General Method for Statistical Performance Evaluation
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SIGIR
2011
ACM
14 years 9 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
WWW
2002
ACM
16 years 6 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
BMCBI
2007
119views more  BMCBI 2007»
15 years 6 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
MOBICOM
2003
ACM
15 years 11 months ago
A comparison of mechanisms for improving mobile IP handoff latency for end-to-end TCP
Handoff latency results in packet losses and severe End-to-End TCP performance degradation as TCP, perceiving these losses as congestion, causes source throttling or retransmissio...
Robert Hsieh, Aruna Seneviratne
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 6 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims