2898 search results - page 77 / 580 » Ensemble Methods in Machine Learning |
ML
2002
ACM
13 years 7 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
AI
2008
Springer
14 years 2 months ago
2008
Springer
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
CGO
2009
IEEE
14 years 2 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
ACL
2006
13 years 9 months ago
2006
Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
MCS
2002
Springer
13 years 7 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...