Search Results - (((((((ant OR kkantis) OR wantis) OR hints) OR cantor) OR anne) OR file) OR wkanting) algorithms.

Design of Ultra Wideband Power Transfer Networks : Real Frequency Techniques and Road Maps for Practical Designs. by Yarman, Binboga Siddik

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Mastering Scala machine learning by Kozlov, Alexander

Table of Contents: “…Setting up R and SparkRLinux; Mac OS; Windows; Running SparkR via scripts; Running Spark via R's command line; DataFrames; Linear models; Generalized linear model; Reading JSON files in SparkR; Writing Parquet files in SparkR; Invoking Scala from R; Using Rserve; Integrating with Python; Setting up Python; PySpark; Calling Python from Java/Scala; Using sys.process._; Spark pipe; Jython and JSR 223; Summary; Chapter 9: NLP in Scala; Text analysis pipeline; Simple text analysis; MLlib algorithms in Spark; TF-IDF; LDA; Segmentation, annotation, and chunking; POS tagging.…”
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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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Project Scheduling under Limited Resources : Models, Methods, and Applications by Hartmann, Sönke

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Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes by Shukla, Nishant, 1992-

Table of Contents: “…Computing the Jaro-Winkler distance between two stringsFinding strings within one-edit distance; Fixing spelling mistakes; Chapter 4: Data Hashing; Introduction; Hashing a primitive data type; Hashing a custom data type; Running popular cryptographic hash functions; Running a cryptographic checksum on a file; Performing fast comparisons between data types; Using a high-performance hash table; Using Google's CityHash hash functions for strings; Computing a Geohash for location coordinates; Using a bloom filter to remove unique items; Running MurmurHash, a simple but speedy hashing algorithm…”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Practical data analysis by Cuesta, Hector

Table of Contents: “…; Summary; Chapter 2:Working with Data; Data sources; Open data; Text files; Excel files; SQL databases; NoSQL databases; Multimedia; Web scraping; Data scrubbing; Statistical methods; Text parsing; Data transformation; Data formats; CSV; Parsing a CSV file with the csv module; Parsing a CSV file using NumPy; JSON; Parsing a JSON file using json module; XML; Parsing an XML file in Python using xml module; YAML; Getting started with OpenRefine; Text facet; Clustering; Text filters.…”
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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Python programming using problem solving by Bhasin, Harsh (Assistant professor in computer science)

Table of Contents: “…Preface -- Section I. Algorithmic problem-solving and Python fundamentals -- Chapter 1. …”
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Modern optimization methods for science, engineering and technology

Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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Delaunay mesh generation by Cheng, Siu-Wing

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Pattern recognition by Theodoridis, Sergios, 1951-

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Differential algebra and related topics - proceedings of the international workshop. by SIT, WILLIAM Y.

Table of Contents: “…6 Reduction Algorithms 7 Rosenfeld Properties of an Autoreduced Set ; 8 Coherence and Rosenfeld's Lemma ; 9 Ritt-Raudenbush Basis Theorem ; 10 Decomposition Problems ; 11 Component Theorems ; 12 The Low Power Theorem ; Appendix: Solutions and hints to selected exercises ; References…”
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Stochastic Methods for Boundary Value Problems : Numerics for High-dimensional PDEs and Applications. by Sabelfeld, Karl K.

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Data management of protein interaction networks by Cannataro, Mario, 1964-

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Wavelets : theory and applications

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Advanced Printing and Packaging Materials and Technologies

Table of Contents: “…Color Measurement and Analysis Based on the Konica Minolta Bizhub Pro C6501 Digital Press; Evaluation of Device Color Gamut Description Algorithms; Digital Color Appearance Evaluation System; A Spectral Improved Neugebauer Equation Model; Research on Color Reproduction Characteristics of Mobile Terminals; Ink Spectrum Data Feature Extraction Research; Research on Visual Performance under Different Lighting Environments of LED Light Sources; Optimal Experiment Designs of Color File Based on the Tetrahedron Interpolation Algorithm.…”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

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