2245 search results - page 76 / 449 » Metrics that Learn Relevance |
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
ECSQARU
2001
Springer
14 years 2 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...
NIPS
2004
13 years 11 months ago
2004
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
SERP
2004
13 years 11 months ago
2004
One of the biggest problems of software development is the management of software quality, both in terms of defects and easiness of maintenance. Software production and evolution ...
SIGIR
2011
ACM
13 years 1 months ago
2011
ACM
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...