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CHI
1999
ACM
15 years 10 months ago
Learning and Performing by Exploration: Label Quality Measured by Latent Semantic Analysis
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
Rodolfo Soto
PPSN
2000
Springer
15 years 10 months ago
Practical Implications of New Results in Conservation of Optimizer Performance
Abstract. Three theoretical perspectives upon conservation of performance in function optimization are outlined. In terms of statistical information, performance is conserved when ...
Thomas M. English
ANNS
2007
15 years 8 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
USENIX
1996
15 years 7 months ago
lmbench: Portable Tools for Performance Analysis
lmbench is a micro-benchmark suite designed to focus attention on the basic building blocks of many common system applications, such as databases, simulations, software developmen...
Larry W. McVoy, Carl Staelin
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 4 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla