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» Interpretation of Trained Neural Networks by Rule Extraction
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MCS
2002
Springer
13 years 10 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
ICCV
2003
IEEE
15 years 21 days ago
Object Recognition with Informative Features and Linear Classification
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
Michel Vidal-Naquet, Shimon Ullman
ICIP
2003
IEEE
15 years 11 days ago
Compressed domain human motion recognition using motion history information
In this paper we present a system for classifying various human actions in compressed domain video framework. We introduce the notion of quantifying the motion involved, through w...
R. Venkatesh Babu, K. R. Ramakrishnan
VLDB
1989
ACM
155views Database» more  VLDB 1989»
14 years 2 months ago
Parallel Processing of Recursive Queries in Distributed Architectures
This paper presents a parallel algorithm for recursive query processing and shows how it can be efficiently implemented in a local computer network. The algorithm relies on an int...
Guy Hulin
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 10 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov