Entropy Measures, Maximum Entropy Principle and Emerging Applications Book

1	Uncertainty, Entropy and Maximum Entropy Principle - An Overview	1
2	Facets of Generalized Uncertainty-based Information	55
3	Application of the Maximum (Information) Entropy Principle to Stochastic Processes far from Thermal Equilibrium	79
4	Maximum Entropy Principle, Information of Non-Random Functions and Complex Fractals	91
5	Geometric Ideas in Minimum Cross-Entropy	103
6	Information-Theoretic Measures for Knowledge Discovery and Data Mining	115
7	A Universal Maximum Entropy Solution for Complex Queueing Systems and Networks	137
8	Minimum Mean Deviation from the Steady-State Condition to Queueing Theory	163
9	On the Utility of Different Entropy Measures in Image Thresholding	177
10	Entropic Thresholding Algorithms and their Optimizations	199
11	Entropy and Complexity of Sequences	209
12	Some Lessons for Molecular Biology from Information Theory	229
13	Computation of the MinMax Measure	239
14	On Three Functional Equations Related to the Bose-Einstein Entropy	253
15	The Entropy Theory as a Decision Making Tool in Environmental and Water Resources	261