100 search results - page 9 / 20 » Second Tier for Decision Trees |
KDD
2000
ACM
15 years 3 months ago
2000
ACM
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
114
Voted
CIMCA
2008
IEEE
15 years 6 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
ECAI
2004
Springer
15 years 5 months ago
2004
Springer
Recent work has shown the promise in using local-search “probes” as a basis for directing a backtracking-based refinement search. In this approach, the decision about the next...
ML
2000
ACM
14 years 11 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
ISSAC
1995
Springer
15 years 3 months ago
1995
Springer
Dynamic evaluation is a technique for producing multiple results according to a decision tree which evolves with program execution. Sometimes it is desired to produce results for ...