54 search results - page 8 / 11 » An Empirical Evaluation of Bagging and Boosting |
AI
2002
Springer
13 years 7 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
KDD
2009
ACM
14 years 1 days ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
MCS
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...