76 search results - page 3 / 16 » Empirical evaluation of hash functions for multipoint measur... |
ECSQARU
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
BMCBI
2007
13 years 5 months ago
2007
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
KCAP
2009
ACM
13 years 9 months ago
2009
ACM
Ontology modularization has received growing interest from the research community lately, since it supports tasks such as ontology design/reuse and knowledge selection and integra...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
IJCAI
1989
13 years 6 months ago
1989
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...