Search Results - (((((((ant OR wantsi) OR semantic) OR wint) OR cantor) OR anne) OR line) OR hints) algorithms.

Data Mining : Practical Machine Learning Tools and Techniques, Second Edition. by Witten, I. H. (Ian H.)

Table of Contents: “…; 2 Input: Concepts, instances, and attributes; 3 Output: Knowledge representation; 4 Algorithms: The basic methods; 5 Credibility: Evaluating what's been learned; 6 Implementations: Real machine learning schemes; 7 Transformations: Engineering the input and output; 8 Moving on: Extensions and applications; PART II: THE WEKA MACHINE LEARNING WORKBENCH; 9 Introduction to Weka; 10 The Explorer; 11 The Knowledge Flow Interface; 12 The Experimenter; 13 The Command-Line Interface…”
Full text (MFA users only)

Enterprise artificial intelligence transformation : a playbook for the next generation of business and technology leaders by Haq, Rashed

Table of Contents: “…Types of Uses for Machine Learning -- Types of Machine Learning Algorithms -- Supervised, Unsupervised, and Semisupervised Learning -- Making Data More Useful -- Semantic Reasoning -- Applications of AI -- PART II Artificial Intelligence in the Enterprise -- Chapter 3 AI in E-Commerce and Retail -- Digital Advertising -- Marketing and Customer Acquisition -- Cross-Selling, Up-Selling, and Loyalty -- Business-to-Business Customer Intelligence -- Dynamic Pricing and Supply Chain Optimization -- Digital Assistants and Customer Engagement -- Chapter 4 AI in Financial Services -- Anti-Money Laundering.…”
Full text (MFA users only)

Ivor Horton's beginning Visual C++ 2012 by Horton, Ivor

Table of Contents: “…Output to the Command Line --…”
Full text (MFA users only)

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…”
Full text (MFA users only)

Provisioning, recovery, and in-operation planning in elastic optical network

Full text (MFA users only)

Language and logos : studies in theoretical and computational linguistics

Table of Contents: “…CONTENTS -- Preface -- Part I Syntax -- A Spurious Genitive Puzzle in Polish -- Semantic Type Effects on Crossing Movement in German -- Me and Chomsky -- On the Typology of Verb Second -- Movement from Verb-Second Clauses Revisited -- Spurious Ambiguities and the Parentheticals Debate -- Part II Semantics -- On Squeamishness of the Royal Kind -- Information Structure of schon -- When- Clauses, Factive Verbs and Correlates -- The Proof Theory of Partial Variables -- Brentano's Apple -- How to Interpret Expletive Negation under bevor in German…”
Full text (MFA users only)

Classics in cartography : reflections on influential articles from Cartographica

Table of Contents: “…/ Martin Dodge -- Section One: Epistemological Practice. Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature / David H Douglas, Thomas K Peucker -- Reflection Essay: Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature / Tom Poiker, David H Douglas -- The Nature of Boundaries on ₁Area-Class₂ Maps / David M Mark, Ferenc Csillag -- Reflection Essay: / David M Mark -- Strategies for the Visualization of Geographic Time-Series Data / Mark Monmonier -- Reflection Essay: / Mark Monmonier -- PPGIS in Community Development Planning: Framing the Organizational Context / Sarah Elwood, Rina Ghose -- Reflection Essay: PPGIS in Community Development Planning / Sarah Elwood, Rina Ghose -- Section Two: Ontological Understanding. …”
Full text (MFA users only)

Inverse scattering and applications

Full text (MFA users only)

Analysis of biological data : a soft computing approach

Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
Full text (MFA users only)

Wideband beamforming : concepts and techniques by Liu, Wei, 1974-

Table of Contents: “…Wideband Beamforming; About the Series Editors; Contents; Preface; 1 Introduction; 2 Adaptive Wideband Beamforming; 3 Subband Adaptive Beamforming; 4 Design of Fixed Wideband Beamformers; 5 Frequency Invariant Beamforming; 6 Blind Wideband Beamforming; 7 Wideband Beamforming with Sensor Delay-Lines; 8 Wideband Beamforming for Multipath Signals; Appendix A: Matrix Approximation; Appendix B: Differentiation with Respect to a Vector; Appendix C: Genetic Algorithm; Bibliography; Index.…”
Full text (MFA users only)

Multi-Agent Coordination : A Reinforcement Learning Approach. by Sadhu, Arup Kumar

Table of Contents: “…1.4.4.3 Recombination -- 1.4.4.4 Selection -- 1.4.5 Off-line Optimization -- 1.4.6 Performance Analysis of Optimization Algorithms -- 1.4.6.1 Friedman Test -- 1.4.6.2 Iman-Davenport Test -- 1.5 Summary -- References -- Chapter 2 Improve Convergence Speed of Multi-Agent Q-Learning for Cooperative Task Planning -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Preliminaries -- 2.3.1 Single Agent Q-learning -- 2.3.2 Multi-agent Q-learning -- 2.4 Proposed MAQL -- 2.4.1 Two Useful Properties -- 2.5 Proposed FCMQL Algorithms and Their Convergence Analysis -- 2.5.1 Proposed FCMQL Algorithms…”
Full text (MFA users only)

Wake up : the nine h#tags of digital disruption by Fagan, David (Journalist)

Full text (MFA users only)

Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

Table of Contents: “…""Role and Member Selection in Team Formation Using Resource Estimation""""Incorporating Explicit Coordination Mechanisms by Agents to Obtain Green Waves""; ""Communication Leading to Coalition Nash Equilibrium I""; ""Agent-Based Optimization""; ""An Agent-Based Cooperative Population Learning Algorithm for Vehicle Routing Problem with Time Windows""; ""Mobile Agent-based Dynamic Resource Allocation Method for Query Optimization in Data Grid Systems""; ""Memetic Multi-Agent Computing in Difficult Continuous Optimisation""; ""Web Services and Semantic Web""…”
Full text (MFA users only)

Hands-On Automated Machine Learning : a beginner's guide to building automated machine learning systems using AutoML and Python. by Das, Sibanjan

Table of Contents: “…Excluding features with low varianceUnivariate feature selection; Recursive feature elimination; Feature selection using random forest; Feature selection using dimensionality reduction; Principal Component Analysis; Feature generation; Summary; Chapter 4: Automated Algorithm Selection; Technical requirements; Computational complexity; Big O notation; Differences in training and scoring time; Simple measure of training and scoring time ; Code profiling in Python; Visualizing performance statistics; Implementing k-NN from scratch; Profiling your Python script line by line.…”
Full text (MFA users only)

Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
Full text (MFA users only)

DSP with Python Programming. by Charbit, Maurice

Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
Full text (MFA users only)

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.…”
Full text (MFA users only)

Compressive sensing for wireless networks by Han, Zhu, 1974-

Table of Contents: “…Sparse optimization algorithms.…”
Full text (MFA users only)

Communication and Power Engineering. by Rajesh, R.

Table of Contents: “…Preface ; Table of Contents ; Foreword ; Handwritten Script Identification from Text Lines ; A Rule based Approach for Noun Phrase Extraction from English Text Document ; Recommending Investors using Association Rule Mining for Crowd Funding Projects.…”
Full text (MFA users only)

Perspectives on projects

Table of Contents: “…The diversity of projects and project management -- Optimization : the project as a machine -- Modelling : the project as a mirror -- Success : the project as business objective -- Governance : the project as a legal entity -- Behaviour : the project as a social system -- Marketing : the project as a billboard -- Process : the project as an algorithm -- Decision : the project as a computer -- Contingency : the project as a chameleon -- Using the nine perspectives -- The North-South Metro Line : managing in crowded amsterdam -- The LAS story : learning from failure -- ABS international : sustainable project management.…”
Full text (MFA users only)