14 search results - page 2 / 3 » A parallelized indexing method for large-scale case-based re... |
ESWA
2002
13 years 5 months ago
2002
Case-based reasoning (CBR) is a commonly seen problem-solving methodology in artificial intelligence. It can correctly take advantage of the situations and methods in former cases...
AI
2011
Springer
12 years 9 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
WWW
2011
ACM
13 years 21 days ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
ISBI
2008
IEEE
14 years 5 days ago
2008
IEEE
In this paper, we present a Case Based Reasoning (CBR) system for the retrieval of medical cases made up of a series of images with semantic information (such as the patient age, ...
SC
2009
ACM
14 years 17 days ago
2009
ACM
Current visualization tools lack the ability to perform fullrange spatial and temporal analysis on terascale scientific datasets. Two key reasons exist for this shortcoming: I/O ...