90 search results - page 7 / 18 » AUC: A Better Measure than Accuracy in Comparing Learning Al... |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
CEC
2009
IEEE
14 years 6 days ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...