Search Results - (((((((kant OR mind) OR mantis) OR win) OR cantor) OR anne) OR shape) OR hints) algorithms.

Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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Poetry and Mind : Tractatus Poetico-Philosophicus by Dubreuil, Laurent

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Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA

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Energy Psychology : Explorations at the Interface of Energy, Cognition, Behavior, and Health. by Gallo, Fred P.

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Nearest-neighbor methods in learning and vision : theory and practice

Table of Contents: “…Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. …”
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Applications of multi-objective evolutionary algorithms

Table of Contents: “…Non-Dominated Sorting Evolution Strategy Algorithm (NSESA)3.3. Case Studies; 3.3.1. Shape Design of a Shielded Reactor; 3.3.2. …”
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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

Table of Contents: “…9.6 Summary and Further Reading10 3D Face Recognition; 10.1 Introduction; 10.2 3D Face Recognition Tasks, Challenges and Datasets; 10.3 3D Face Recognition Methods; 10.4 Summary; 11 Object Recognition in 3D Scenes; 11.1 Introduction; 11.2 Surface Registration-Based Object Recognition Methods; 11.3 Machine Learning-Based Object Recognition Methods; 11.4 Summary and Further Reading; 12 3D Shape Retrieval; 12.1 Introduction; 12.2 Benchmarks and Evaluation Criteria; 12.3 Similarity Measures; 12.4 3D Shape Retrieval Algorithms; 12.5 Summary and Further Reading; 13 Cross-domain Retrieval…”
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Computer and machine vision : theory, algorithms, practicalities by Davies, E. R. (E. Roy)

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Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms. by Ozdemir, Caner

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The emperor's new mind : concerning computers, minds, and the laws of physics by Penrose, Roger

Table of Contents: “…Cover; Contents; Prologue; 1 CAN A COMPUTER HAVE A MIND?; Introduction; The Turing test; Artificial intelligence; An AI approach to 'pleasure' and 'pain'; Strong AI and Searle's Chinese room; Hardware and software; 2 ALGORITHMS AND TURING MACHINES; Background to the algorithm concept; Turing's concept; Binary coding of numerical data; The Church-Turing Thesis; Numbers other than natural numbers; The universal Turing machine; The insolubility of Hilbert's problem; How to outdo an algorithm; Church's lambda calculus; 3 MATHEMATICS AND REALITY; The land of Tor'Bled-Nam; Real numbers.…”
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Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…10 America's Favourite Quiz Show -- Watson's Secret Recipe -- 11 Mimicking the Brain -- Brain Cells -- Artificial Neural Networks -- How to Train a Brain -- Recognizing Digits -- Deep Learning -- The Tsunami -- 12 Superhuman Intelligence -- The Match -- TheWinning Move -- DeepMind -- 13 Next Steps -- Cryptocurrency -- Bitcoin -- Blockchain -- Who Is Nakamoto? …”
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Uberland : how algorithms are rewriting the rules of work by Rosenblat, Alex, 1987-

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Algorithms for sample preparation with microfluidic lab-on-chip by Bhattacharjee, Sukanta, Bhattacharya, Bhargab B., Chakrabarty, Krishnendu

Table of Contents: “…2.1.3 Generation of Dilution Gradients2.2 Mixing Algorithms for DMFB; 2.3 Droplet Streaming Algorithms; 2.4 Dilution and Mixing Algorithms for CFMB; 2.5 Summary; Chapter 3 -- Multiple Dilution Sample Preparation on Digital Microfluidic Biochips; 3.1 Related Work; 3.2 Tree-pruning-based Dilution Algorithm; 3.2.1 Proposed Methodology; 3.3 Experimental Results; 3.4 Conclusions; Chapter 4 -- Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips; 4.1 Literature Review; 4.2 Linear Gradient; 4.3 Exponential Gradient; 4.4 Complex-shaped Gradients…”
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Personality Revolution : Using AI to Understand Your Customers and Win More Business. by D'Agostino, Andrew

Table of Contents: “…Navigating a Complex, Biased, Hyper-connected WorldPART II Read Your Own User Manual: Understanding your personality and how to harness it; Chapter 6 Personality Differences Shape Every Relationship; Chapter 7 How to Find Your Personality Type; Chapter 8 Take a Personality Assessment; Using your personality at work; Chapter 9 The 16 Personality Types; Type D: The Captain; Type Di: The Driver; Type DI: The Initiator; Type ID: The Influencer; Type I: The Motivator; Type Is: The Encourager; Type IS: The Harmonizer; Type SI: The Counselor; Type S: The Supporter; Type Sc: The Planner…”
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New directions in statistical signal processing : from systems to brain

Table of Contents: “…Modeling the mind : from circuits to systems /…”
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Genetic and evolutionary computation : medical applications

Table of Contents: “…Potok -- Towards an alternative to magnetic resonance imaging for vocal tract shape measurement using the principles of evolution / David M. …”
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Condition Monitoring with Vibration Signals : Compressive Sampling and Learning Algorithms for Rotating Machines. by Nandi, Asoke K.

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Inside Finite Elements. by Weiser, Martin

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Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms by Talvitie, Vesa

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