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SIGIR
2011
ACM
12 years 10 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
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
14 years 24 days ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis
SPIESR
2003
165views Database» more  SPIESR 2003»
13 years 9 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
HICSS
2003
IEEE
136views Biometrics» more  HICSS 2003»
14 years 27 days ago
Value Positions for Financial Institutions in Electronic Bill Presentment and Payment (EBPP)
Business to consumer (B2C) electronic commerce has led to new relationships connecting various supply chain partners via the Internet, significantly increasing the quantity and qu...
Alea M. Fairchild
BMCBI
2006
164views more  BMCBI 2006»
13 years 7 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta