187 search results - page 18 / 38 » BOAT-Optimistic Decision Tree Construction |
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
MCS
2009
Springer
14 years 9 days ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
IJCAI
2007
13 years 9 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
TCSV
2008
13 years 7 months ago
2008
Abstract--The H.264 standard achieves much higher coding efficiency than the MPEG-2 standard, due to its improved inter-and intra-prediction modes at the expense of higher computat...
AUSAI
1999
Springer
14 years 15 hour ago
1999
Springer
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...