Sciweavers

3837 search results - page 187 / 768
» Learning Approximate Consistencies
Sort
View
186
Voted
ML
2008
ACM
15 years 7 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ISBI
2006
IEEE
16 years 1 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
150
Voted
ITICSE
2006
ACM
16 years 1 months ago
Students learn CS in different ways: insights from an empirical study
This empirical study demonstrates that students’ learning of computer science takes place in qualitatively different ways. The results consist of categories, where each category...
Anders Berglund, Mattias Wiggberg
185
Voted
OTM
2005
Springer
16 years 16 days ago
Towards Ontology-Guided Design of Learning Information Systems
Courseware increasingly consists of generic information and communication tools. These offer a plethora of functionalities, but their usefulness to a particular learning community ...
Aldo de Moor
ILP
2004
Springer
16 years 12 days ago
Learning Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) provide a simple and elegant framework for integrating probabilistic reasoning and logic programming. In this paper we ...
Fabrizio Riguzzi