Automatic construction of decision trees from data: A multi-disciplinary survey
SK Murthy - Data mining and knowledge discovery, 1998 - Springer
Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …
generalization of data. Work on constructing decision trees from data exists in multiple …
Information-theoretic measures for knowledge discovery and data mining
YY Yao - Entropy measures, maximum entropy principle and …, 2003 - Springer
A database may be considered as a statistical population, and an attribute as a statistical
variable taking values from its domain. One can carry out statistical and information-theoretic …
variable taking values from its domain. One can carry out statistical and information-theoretic …
[LIVRE][B] Pattern recognition and neural networks
BD Ripley - 2007 - books.google.com
Pattern recognition has long been studied in relation to many different (and mainly
unrelated) applications, such as remote sensing, computer vision, space research, and …
unrelated) applications, such as remote sensing, computer vision, space research, and …
A survey of decision tree classifier methodology
SR Safavian, D Landgrebe - IEEE transactions on systems, man …, 1991 - ieeexplore.ieee.org
A survey is presented of current methods for decision tree classifier (DTC) designs and the
various existing issues. After considering potential advantages of DTCs over single-state …
various existing issues. After considering potential advantages of DTCs over single-state …
[LIVRE][B] A probabilistic theory of pattern recognition
Pattern recognition presents one of the most significant challenges for scientists and
engineers, and many different approaches have been proposed. The aim of this book is to …
engineers, and many different approaches have been proposed. The aim of this book is to …
Methods of combining multiple classifiers and their applications to handwriting recognition
Possible solutions to the problem of combining classifiers can be divided into three
categories according to the levels of information available from the various classifiers. Four …
categories according to the levels of information available from the various classifiers. Four …
Twenty years of document image analysis in PAMI
G Nagy - IEEE Transactions on Pattern Analysis & Machine …, 2000 - computer.org
Twenty Years of Document Image Analysis in PAMI Toggle navigation IEEE Computer
Society Digital Library Jobs Tech News Resource Center Press Room Advertising About Us …
Society Digital Library Jobs Tech News Resource Center Press Room Advertising About Us …
An active testing model for tracking roads in satellite images
We present a new approach for tracking roads from satellite images, and thereby illustrate a
general computational strategy (" active testing") for tracking 1D structures and other …
general computational strategy (" active testing") for tracking 1D structures and other …
An iterative growing and pruning algorithm for classification tree design
SB Gelfand, CS Ravishankar… - … Conference on Systems …, 1989 - ieeexplore.ieee.org
An efficient iterative method is proposed to grow and prune classification trees. This method
divides the data sample into two subsets and iteratively grows a tree with one subset and …
divides the data sample into two subsets and iteratively grows a tree with one subset and …
Joint induction of shape features and tree classifiers
Y Amit, D Geman, K Wilder - IEEE transactions on pattern …, 1997 - ieeexplore.ieee.org
We introduce a very large family of binary features for two-dimensional shapes. The salient
ones for separating particular shapes are determined by inductive learning during the …
ones for separating particular shapes are determined by inductive learning during the …