Search Results - (((((((ant OR find) OR semantic) OR carter) OR cantor) OR anne) OR maarten) OR mantis) algorithms.

The linguistic cerebellum

Table of Contents: “…VOICE RECORDING MATERIALVOICE RECORDING SESSION; ANALYSIS ALGORITHM AND EFFECTS; SPINOCEREBELLAR ATAXIA DIAGNOSIS USING SPEECH ANALYSIS; ACOUSTIC FINDINGS IN CEREBELLAR PATIENTS; CONCLUSION; REFERENCES; 8 -- Cerebellum and Writing; INTRODUCTION; WRITING; AGRAPHIA; CEREBELLUM; DISCUSSION; CONCLUSION; REFERENCES; 9 -- The Role of the Cerebellum in Developmental Dyslexia; INTRODUCTION; IS THE CEREBELLUM PART OF THE READING NETWORK?…”
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Comorbidity in migraine

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Technologies for Engineering Manufacturing Systems Control in Closed Loop. by Preuße, Sebastian

Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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Handbook of statistical analysis and data mining applications by Nisbet, Robert

Table of Contents: “…Basic Algorithms -- Chapter 8: Advanced Algorithms -- Chapter 9. …”
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Computational intelligence in aerospace sciences

Table of Contents: “…Coello Coello and Oliver Schütze ; Function landscapes and the difficulty of global optimization / Marco Locatelli ; Stochastic methods for single objective global optimization / Christian Lorenz Müller ; Uncertainty quantification in computational science / Gianluca Iaccarino ; Basic concepts of game theory for aerospace engineering applications / Lina Mallozzi -- Autonomy and robotics: Nonlinear state estimation algorithms for autonomous vehicles / Kumar Pakki Bharani Chandra and Da-Wei Gu ; Path planning algorithms in 2-D and 3-D obstacle-rich environments / Rosli Omar, Batu Pahat, Da-Wei Gu; Semantics of perception and action for symbolic reasoning in aerospace systems Sandor M. …”
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Machine learning for the web by Isoni, Andrea

Table of Contents: “…Multinomial Naive BayesGaussian Naive Bayes; Decision trees; Support vector machine; Kernel trick; A comparison of methods; Regression problem; Classification problem; Hidden Markov model; A Python example; Summary; Web Mining Techniques; Web structure mining; Web crawlers (or spiders); Indexer; Ranking -- PageRank algorithm; Web content mining; Parsing; Natural language processing; Information retrieval models; TF-IDF; Latent Semantic Analysis (LSA); Doc2Vec (word2vec); Word2vec -- continuous bag of words and skip-gram architectures; Mathematical description of the CBOW model.…”
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Metaheuristic applications in structures and infrastructures

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Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

Table of Contents: “…Quantum phase estimation. 3.13. Finding eigenvalues and eigenvectors. 3.14. Period finding and Shor's algorithm. 3.15. …”
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Social sensing : building reliable systems on unreliable data by Wang, Dong, Abdelzaher, Tarek, Kaplan, Lance

Table of Contents: “…4.3.2 Source Credibility4.4 The Iterative Algorithm; 4.5 Examples and Results; 4.6 Discussion; Appendix; Chapter 5: Social Sensing: A maximum likelihood estimation approach; 5.1 The Social Sensing Problem; 5.2 Expectation Maximization; 5.2.1 Background; 5.2.2 Mathematical Formulation; 5.2.3 Deriving the E-Step and M-Step; 5.3 The EM Fact-Finding Algorithm; 5.4 Examples and Results; 5.4.1 A Simulation Study; 5.4.2 A Geotagging Case Study; 5.4.3 A Real World Application; 5.5 Discussion; Chapter 6: Confidence bounds in social sensing; 6.1 The Reliability Assurance Problem.…”
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Information Theory Meets Power Laws : Stochastic Processes and Language Models. by Dębowski, Łukasz Jerzy, $$d 1975- $$e author

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International e-Conference of Computer Science 2006

Table of Contents: “…A Computational Algorithm to Obtain the Law of the Solvable Lie Algebra of n x n Upper-Triangular MatricesWeb Data Extraction using Semantic Generators -- Integrity-Enhanced Improvements for ISO 9001 registeredOrganizations -- A Ghost Bit Based Finite Field Arithmetic for FPGAs -- A Scalable Finite Field Multiplier with Interleaving Reduction -- Intelligent Tutoring Systems and Convex Geometries -- Towards Operational Content Infrastructure -- A Computational Fusion of Wavelets and Neural Networks in a Classifier for Biomedical Applications…”
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STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium. by Ågotnes, Thomas

Table of Contents: “…; Generative Structure Learning for Markov Logic Networks; Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System; Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval.…”
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Fuzzy neural network theory and application by Liu, Puyin

Table of Contents: “…4.2.2 Calculus of V -- / functions4.2.3 Error function; 4.2.4 Partial derivatives of error function; 4.2.5 Learning algorithm and simulation; S4.3 Conjugate gradient algorithm for fuzzy weights; 4.3.1 Fuzzy CG algorithm and convergence; 4.3.2 GA for finding optimal learning constant; 4.3.3 Simulation examples; S4.4 Universal approximation to fuzzy valued functions; 4.4.1 Fuzzy valued Bernstein polynomial; 4.4.2 Four-layer regular feedforward FNN; 4.4.3 An example; S4.5 Approximation analysis of regular FNN; 4.5.1 Closure fuzzy mapping; 4.5.2 Learning algorithm.…”
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Communicating process architectures 2009 : WoTUG-32

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DSP software development techniques for embedded and real-time systems by Oshana, Robert

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Discrete Mathematics for Computer Science : An Example-Based Introduction. by Fortney, Jon Pierre

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Introduction to Algorithms -- 1.1. WHAT ARE ALGORITHMS? -- 1.2. CONTROL STRUCTURES -- 1.3. …”
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Predictive Analytics For Dummies. by Bari, Anasse

Table of Contents: “…Recognizing Your Data TypesStructured and unstructured data; Static and streamed data; Identifying Data Categories; Attitudinal data; Behavioral data; Demographic data; Generating Predictive Analytics; Data-driven analytics; User-driven analytics; Connecting to Related Disciplines; Statistics; Data mining; Machine learning; Chapter 4 Complexities of Data; Finding Value in Your Data; Delving into your data; Data validity; Data variety; Constantly Changing Data; Data velocity; High volume of data; Complexities in Searching Your Data; Keyword-based search; Semantic-based search.…”
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Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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Logic and Discrete Mathematics : A Concise Introduction, Solutions Manual. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 Semantic tableaux -- 3.4 Logical equivalences. Negating propositional formulae -- 3.5 Normal forms. …”
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Logic and Discrete Mathematics : A Concise Introduction. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 The concept and use of deductive systems -- 3.4 Semantic tableaux -- 3.5 Logical equivalences. Negating propositional formulae -- 3.6 Normal forms. …”
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