Search Results - (((((((ant OR arte) OR wikant) OR data) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Algorithms for worst-case design and applications to risk management by Rustem, Berc

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Jewels of stringology : text algorithms. by RYTTER, WOJCIECH

Table of Contents: “…Text file facilities. 1.2. Dictionaries. 1.3. Data compression. 1.4. Applications of text algorithms in genetics. 1.5. …”
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GMDH-methodology and implementation in C

Subjects: “…GMDH algorithms.…”
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Swarm intelligence and bio-inspired computation : theory and applications

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Ant colony optimization by Dorigo, Marco

Table of Contents: “…Preface; Acknowledgments; 1 -- From Real to Artificial Ants; 2 -- The Ant Colony Optimization Metaheuristic; 3 -- Ant Colony Optimization Algorithms for the Traveling Salesman Problem; 4 -- Ant Colony Optimization Theory; 5 -- Ant Colony Optimization for NP-Hard Problems; 6 -- AntNet: An ACO Algorithm for Data Network Routing; 7 -- Conclusions and Prospects for the Future; Appendix: Sources of Information about the ACO Field; References; Index.…”
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The mathematica guidebook for numerics by Trott, Michael, Ph. D.

Subjects: “…Algebra Data processing.…”
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Principles of Broadband Switching and Networking. by Liew, Soung C.

Subjects: “…Algorithms…”
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Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

Table of Contents: “…Notation Types of algorithm Complexity Classes Exercise Classical Cryptosystems Classification of Classical Cryptosystem Block Cipher Stream Cipher Cryptanalysis of Cryptosystems Exercise Block Ciphers Introduction Modes of Operation Padding Design Considerations Data Encryption Standard Advanced Encryption Standard Exercise Hash Function Compression and Hash Functions Hash function for cryptography Random Oracle Model Cryptographic Hash Functions Exercise Public Key Cryptosystem Introduction Diffie-Hellman Key Exchange Protocol RSA Cryptosystem Rabin Cryptosystem ElGamal Cryptosystem Elliptic Curve Cryptosystem Exercises Digital Signature Formal Definitions Attack Goals for Digital.…”
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Machine learning for computer and cyber security : principles, algorithms, and practices

Table of Contents: “…Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture -- 11. …”
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Algorithmic techniques for the polymer sciences by Tice, Bradley S.

Table of Contents: “…Front Cover; About the Editor; Preface; Contents; Introduction; Review of the Literature; Chapter 1: Polymers; Chapter 2: Compression of Data; Chapter 3: Natural Language Compression; Chapter 4: Formal Language Compression; Chapter 5: Types of Compression Programs; Chapter 6: Algorithmic Compression; Chapter 7: Chemical Formulas; Chapter 8: Fischer Projection; Chapter 9: Compression of Polymers; Chapter 10: Line Notation Systems and Compression; Chapter 11: Current Trends in Research; Chapter 12: Big Data; Chapter 13: Modeling Complexity in Molecular Systems: A Revised Edition.…”
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Support vector machine in chemistry

Table of Contents: “…Kernel functions: technique for nonlinear data processing by linear algorithm. 1.7. Support vector regression: regression based on principle of statistical learning theory. 1.8. …”
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Machine Learning and Big Data with KDB+/Q : Q, High Frequency Financial Data and Algorithmic Trading. by Bilokon, Paul A.

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Programming. Architecture. by Coates, Paul

Subjects: “…Architectural design Data processing.…”
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Computational technologies. Advanced topics

Subjects: “…Mathematics Data processing Textbooks.…”
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Learning Causal Models Of Multivariate Systems : And The Value Of It For The Performance Modeling Of Computer Programs. by Lemeire, Jan

Table of Contents: “…""Qualitative Property and Qualitative Reasoning""""The Occurence of Independencies""; ""Graphoid Properties""; ""Markov networks""; ""Bayesian Networks""; ""Representation of Distributions""; ""Representation of Independencies""; ""Graphical Causal Models""; ""Defining Causality: The Shadow's Cause""; ""Interventions""; ""Causally Interpreted Bayesian Networks""; ""Invalidity of the Markov Network Representation""; ""Causal Structure Learning Algorithms""; ""The PC Algorithm""; ""Assumptions""; ""Complexity""; ""Summary of Chapter""…”
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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

Table of Contents: “…Conditional probabilities and Bayes' theoremBayesian networks; Sampling from a Bayesian network; Direct sampling; Example of direct sampling; A gentle introduction to Markov chains; Gibbs sampling; Metropolis-Hastings sampling; Example of Metropolis-Hastings sampling; Sampling example using PyMC3; Hidden Markov Models (HMMs); Forward-backward algorithm; Forward phase; Backward phase; HMM parameter estimation; Example of HMM training with hmmlearn; Viterbi algorithm; Finding the most likely hidden state sequence with hmmlearn; Summary; Chapter 5: EM Algorithm and Applications.…”
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Distributed control of robotic networks : a mathematical approach to motion coordination algorithms by Bullo, Francesco, Cortés, Jorge, 1974-, Martínez, Sonia, 1974-

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Algorithmic problems of group theory, their complexity, and applications to cryptography

Subjects: “…Algorithms Congresses.…”
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Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques. by Tattar, Prabhanjan Narayanachar

Table of Contents: “…Bootstrapping survival models*Bootstrapping time series models*; Summary; Chapter 3: Bagging; Technical requirements; Classification trees and pruning; Bagging; k-NN classifier; Analyzing waveform data; k-NN bagging; Summary; Chapter 4: Random Forests; Technical requirements; Random Forests; Variable importance; Proximity plots; Random Forest nuances; Comparisons with bagging; Missing data imputation; Clustering with Random Forest; Summary; Chapter 5: The Bare Bones Boosting Algorithms; Technical requirements; The general boosting algorithm; Adaptive boosting; Gradient boosting.…”
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