88 search results - page 6 / 18 » Optimizing Interval Training Protocols Using Data Mining Dec... |
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
HIS
2008
13 years 9 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
CASDMKM
2004
Springer
14 years 1 months ago
2004
Springer
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
FLAIRS
2008
13 years 10 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...