Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms.
1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction …

Artificial intelligence (AI) is a scientific discipline that aims to create intelligent machines.
Machine learning is a popular and practical AI subfield that aims to automatically improve …

The idea of decomposition methodology is to break down a complex Data Mining task into
several smaller, less complex and more manageable, sub-tasks that are solvable by using …

The increasing popularity of the field programmable gate-array (FPGA) technology has
generated a great deal of interest in the algorithmic study and tool development for FPGA …

Abstract The Graph Coloring Problem (GCP) can be simply defined as partitioning the
vertices of a graph into independent sets while minimizing the number of colors used. So far …

We study the problem of decomposing a Boolean function into a set of functions with fewer
arguments. This problem has considerable practical importance in VLSI. For example, for …

One of the main aspects of logic synthesis dedicated to FPGA is the problem of technology
map**, which is directly associated with the logic decomposition technique. This paper …

ABSTRACT A method for designing look-up table type Field Programmable Gate Arrays
(FPGAs) by functional decomposition is presented. Look-up table type FPGAs consist of 5 …

We present a new machine learning method that, given a set of training examples, induces a
definition of the target concept in terms of a hierarchy of intermediate concepts and their …