This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …

Abstract Machine learning is currently one of the hottest topics that enable machines to learn
from data and build predictions without being explicitly programmed for that task …

Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Logistic regression analysis of high-dimensional data, such as natural language text, poses
computational and statistical challenges. Maximum likelihood estimation often fails in these …

A new approach to the online classification of streaming data is introduced in this paper. It is
based on a self-developing (e volving) fuzzy-rule-based (FRB) classifier system of T akagi-S …

Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …

Due to the exponential growth of documents on the Internet and the emergent need to
organize them, the automated categorization of documents into predefined labels has …

As the Web continues to grow, it has become increasingly difficult to search for relevant
information using traditional search engines. Topic-specific search engines provide an …

A large number of techniques has been developed so far to tell the diversity of machine
learning. Machine learning is categorized into supervised, unsupervised and reinforcement …