Books like Genetic Programming Theory and Practice III

#1

High Performance Discovery In Time Series Techniques and Case Studies

Dennis Elliott Shasha

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#2

The Algorithm Design Manual

Steven S. Skiena

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#3

Modern Graph Theory

Béla Bollobás

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#4

Nonblocking Electronic and Photonic Switching Fabrics

Wojciech Kabacinski

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#5

Data Complexity in Pattern Recognition

Mitra Basu

Themes: Algorithms • Stochastic Processes • Artificial Intelligence

#6

Optimization by GRASP Greedy Randomized Adaptive Search Procedures

Mauricio G.C. Resende

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#7

Information Algebras Generic Structures For Inference

Jürg Kohlas

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#8

Assessing and Improving Prediction and Classification Theory and Algorithms in C++

Timothy Masters

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#9

Ontology Learning for the Semantic Web

Alexander Maedche

Themes: Discrete Mathematics • Algorithms • Artificial Intelligence

#10

Robust Technology with Analysis of Interference in Signal Processing

T. A. Aliev

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#11

Modeling Languages in Mathematical Optimization

Josef Kallrath

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#12

Knowledge Discovery and Measures of Interest

Robert Hilderman

Themes: Discrete Mathematics • Algorithms • Artificial Intelligence

#13

Structured Matrices and Polynomials Unified Superfast Algorithms

Victor Y. Pan

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#14

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993

Thomas Lee

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#15

Probability for Deep Learning Quantum A Many-Sorted Algebra View

Charles R. Giardina

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#16

Algorithms for Large Scale Linear Algebraic Systems: Applications in Science and Engineering

Gabriel Winter Althaus

Themes: Discrete Mathematics • Algorithms • Stochastic Processes

#17

A First Course in Information Theory

Raymond W. Yeung

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#18

Combinatorial Designs Construction and Analysis

Douglas R. Stinson

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#19

Object-Oriented Computer Simulation of Discrete-Event Systems

Jerzy Tyszer

Themes: Discrete Mathematics • Stochastic Processes • Information Technology

#20

Data Warehousing and Data Mining Techniques for Cyber Security

Anoop Singhal

Themes: Algorithms • Artificial Intelligence • Information Technology

#21

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#22

Optimized Bayesian Dynamic Advising Theory and Algorithms

Miroslav Karny

Themes: Discrete Mathematics • Artificial Intelligence • Information Technology

#23

Modelling and Reasoning with Vague Concepts

Jonathan Lawry

Themes: Discrete Mathematics • Artificial Intelligence • Information Technology

#24

Data Mining and Decision Support Integration and Collaboration

Dunja Mladenic

Themes: Algorithms • Artificial Intelligence • Information Technology