Search Results - (((((((ant OR manthe) OR find) OR semantic) OR cantor) OR anne) OR halted) OR ranting) algorithms.

What Every Teacher Should Know About Effective Teaching Strategies. by Tileston, Donna E. Walker

Table of Contents: “…-- Why the Way We Teach is Important -- The Linguistic Modality -- The Nonlinguistic Modality -- The Affective Modality -- Semantic Memory -- Episodic Memory -- Procedural Memory -- Automatic Memory -- Emotional Memory -- Chapter 2 -- Choosing Effective Teaching Strategies for Beginning Activities -- Great Beginnings -- The Self-System…”
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New autonomous systems by Cardon, Alain, 1946-, Itmi, Mhamed

Table of Contents: “…Intro -- Table of Contents -- Title -- Copyright -- Introduction -- List of Algorithms -- 1 Systems and their Design -- 1.1. Modeling systems -- 1.2. …”
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3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

Table of Contents: “…7.2 Problem Formulation7.3 Mathematical Tools; 7.4 Isometric Correspondence and Registration; 7.5 Nonisometric (Elastic) Correspondence and Registration; 7.6 Summary and Further Reading; 8 Semantic Correspondences; 8.1 Introduction; 8.2 Mathematical Formulation; 8.3 Graph Representation; 8.4 Energy Functions for Semantic Labeling; 8.5 Semantic Labeling; 8.6 Examples; 8.7 Summary and Further Reading; Part IV: Applications; 9 Examples of 3D Semantic Applications; 9.1 Introduction; 9.2 Semantics: Shape or Status; 9.3 Semantics: Class or Identity; 9.4 Semantics: Behavior; 9.5 Semantics: Position…”
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Quantum Computation and Information. by Lomonaco, Samuel J.

Table of Contents: “…Vintage Shor QHSAs with group probe Ã?= ZQ. -- 14. Finding Shor transversals for vintage ZQ Shor algorithms -- 15. …”
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Mathematical Software : Proceedings of the First International Congress of Mathematical Software, Beijing, China 17-19 August 2002. by Cohen, Arjeh M.

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OIPE 2012

Table of Contents: “…N-level output space mapping for electromagnetic design optimizationHigh-speed functionality optimization of five-phase PM machine using third harmonic current; Topology optimization of magnetostatic shielding using multistep evolutionary algorithms with additional searches in a restricted design space ; Adaptive unscented transform for uncertainty quantification in EMC large-scale systems; Ant colony optimization for the topological design of interior permanent magnet (IPM)machines; Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators.…”
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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Cybernetic Intelligence

Table of Contents: “…Editorial advisory board; Preface; Editorial; Second-order cybernetics and enactive perception; Semantic category theory cognition and conceptual reference; Bipolar logic and probabilistic interpretation; Cooperative clans; Future reasoning machines: mind and body; Machine vision methods for autonomous micro-robotic systems; Optimisation enhancement using self-organising fuzzy control; Intelligent agents and distributed models for cooperative task support; Landscape classification and problem specific reasoning for genetic algorithms; Business cybernetics: a provocative suggestion.…”
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Computational Systems Bioinformatics (Volume 6) : Proceedings of the CSB 2007 Conference. by Markstein, Peter

Table of Contents: “…Problem Formulation; 2.2. Algorithmic Framework; 2.2.1. Finding the MS spectrum match; 2.2.2. …”
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Language engineering for lesser-studied languages

Table of Contents: “…Derzhanski -- Computational morphology for lesser-studied languages / Kemal Olfazer -- Practical syntastic processing of flexible word order languages with dynamic syntax / David Tugwell -- Computation field semantics : acquiring an ontological-semantic lexicon for a new language / Sergei Nirenburg and Marjorie McShane -- Applying machine translation for low- and middle-density languages / Stella Markantonatou [and others] -- Language resources for semitic languages : challenges and solutions / Shuly Wintner -- Low-density language strategies for Persian and Armenian / Karine Megerdoomian.…”
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Theory of information : fundamentality, diversity and unification by Burgin, M. S. (Mark Semenovich)

Table of Contents: “…Algorithmic information theory based on recursive algorithms : recursive approach. 5.3. …”
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Design of Ultra Wideband Power Transfer Networks : Real Frequency Techniques and Road Maps for Practical Designs. by Yarman, Binboga Siddik

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Digital signal processing with kernel methods by Rojo-Álvarez, José Luis, 1972-, Martínez-Ramón, Manel, 1968-, Muñoz Marí, Jordi, Camps-Valls, Gustavo, 1972-

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Image processing for embedded devices : from CFA data to image/video coding

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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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Digital journalism, drones, and automation : the language and abstractions behind the news by Dowd, Cate

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Tales of Literacy for the 21st Century : the Literary Agenda. by Wolf, Maryanne

Table of Contents: “…Finding the nameMeanings-connecting semantic and syntactic systems; Semantic contributions to the meaning of a word; Syntactic contributions to understanding the word; Notes; 5: The Deep Reading Brain; Episteme-connecting the name to the reader's knowledge; Entry processes-imagery, perspective-taking, and background knowledge; Imagery; Perspective-taking; Background knowledge; Metacognitive "scientific method" processes-analogical, inferential, and critical analytical abilities; Analogy as bridge; Inferential abilities (observation, deduction, and induction); Critical analyses.…”
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Gradience in grammar : generative perspectives

Table of Contents: “…Cohn -- Gradedness : interpretive dependencies and beyond / Eric Reuland -- Linguistic and metalinguistic tasks in phonology : methods and findings / Stefan A. Frisch and Adrienne Stearns -- Intermediate syntactic variants in a dialect : standard speech repertoire and relative acceptability / Leonie Cornips -- Gradedness and optionality in mature and developing grammars / Antonella Sorace -- Decomposing gradience : quantitative versus qualitative distinctions / Matthias Schlesewsky, Ina Bornkessel, and Brian McElree -- Gradient perception of intonation / Caroline Féry and Ruben Stoel -- Prototypicality judgements as inverted perception / Paul Boersma -- Modelling productivity with the gradual learning algorithm : the problem of accidentally exceptionless generalizations / Adam Albright and Bruce Hayes -- Gradedness as relative efficiency in the processing of syntax and semantics / John A. …”
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Calculating the Secrets of Life : Contributions of the Mathematical Sciences to Molecular Biology. by Lander, Eric S.

Table of Contents: “…Efficient AlgorithmsStatistical Significance; Excursion: Susceptibility to Colon Cancer in Mice and the Large Deviation Theory of Diffusion Processes; PHYSICAL MAPPING; Assembling Physical Maps by ""Fingerprinting"" Random Clones; Excursion: Designing a Strategy to Map the Human Genome; CONCLUSION; REFERENCES; Chapter 3 Seeing Conserved Signals: Using Algorithms to Detect Similarities between Biosequences ; FINDING GLOBAL SIMILARITIES; Visualizing Alignments: Edit Graphs; The Basic Dynamic Programming Algorithm; FINDING LOCAL SIMILARITIES; VARIATIONS ON SEQUENCE COMPARISON.…”
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Emitter detection and geolocation for electronic warfare by O'Donoughue, Nicholas A.

Table of Contents: “…6.2 MAXIMUM LIKELIHOOD ESTIMATION -- 6.3 OTHER ESTIMATORS -- 6.3.1 Minimum Variance Unbiased Estimators -- 6.3.2 Bayes Estimators -- 6.3.3 Least Square Estimators -- 6.3.4 Convex Estimators -- 6.3.5 Tracking Estimators -- 6.4 PERFORMANCE MEASURES -- 6.4.1 Root Mean Squared Error (RMSE) -- 6.4.2 CRLB -- 6.4.3 Angle Error Variance and Confidence Intervals -- 6.5 PROBLEM SET -- References -- Chapter 7 Direction-Finding Systems -- 7.1 BEAM PATTERN-BASED DIRECTION FINDING -- 7.1.1 Implementation -- 7.1.2 Performance -- 7.2 WATSON-WATT DIRECTION FINDING -- 7.2.1 Implementation -- 7.2.2 Performance…”
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