872 search results - page 114 / 175 » Hybrid Learning Scheme for Data Mining Applications |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
ICTAI
2007
IEEE
14 years 2 months ago
2007
IEEE
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly e...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...