124 search results - page 22 / 25 » Apprenticeship learning using linear programming |
CP
2009
Springer
14 years 11 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
CGO
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
EMNLP
2010
13 years 8 months ago
2010
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...