1405 search results - page 93 / 281 » Learning Instance-Specific Predictive Models |
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
CP
2006
Springer
14 years 17 days ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
WSDM
2009
ACM
14 years 3 months ago
2009
ACM
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
JMLR
2010
13 years 3 months ago
2010
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...