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» An Empirical Evaluation of LFG-DOP
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ICML
2007
IEEE
16 years 2 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...
SIGSOFT
2008
ACM
16 years 2 months ago
A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications
Framework-intensive applications (e.g., Web applications) heavily use temporary data structures, often resulting in performance bottlenecks. This paper presents an optimized blend...
Bruno Dufour, Barbara G. Ryder, Gary Sevitsky
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 2 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
CHI
2007
ACM
16 years 1 months ago
The role of choice and customization on users' interaction with embodied conversational agents: effects on perception and perfor
We performed an empirical study exploring people's interactions with an embodied conversational agent (ECA) while performing two tasks. Conditions varied with respect to 1) w...
Jun Xiao, John T. Stasko, Richard Catrambone
ATAL
2009
Springer
15 years 8 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh