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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
IUI
2009
ACM
16 years 3 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...
CIKM
2009
Springer
16 years 20 days ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
ACL
2006
15 years 7 months ago
Using Machine Learning to Explore Human Multimodal Clarification Strategies
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Verena Rieser, Oliver Lemon
ACL
2001
15 years 7 months ago
Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
We address the issue of on-line detection of communication problems in spoken dialogue systems. The usefulness is investigated of the sequence of system question types and the wor...
Antal van den Bosch, Emiel Krahmer, Marc Swerts