266 search results - page 9 / 54 » Learning to Identify Unexpected Instances in the Test Set |
ML
2008
ACM
14 years 9 months ago
2008
ACM
It is well-known that heuristic search in ILP is prone to plateau phenomena. An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete...
MEDINFO
2007
14 years 11 months ago
2007
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
BMCBI
2006
14 years 9 months ago
2006
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Non-adaptive group testing involves grouping arbitrary subsets of n items into different pools. Each pool is then tested and defective items are identified. A fundamental question...