Search Results - (((((((kant OR wanting) OR mantile) OR arts) OR cantor) OR anne) OR wares) OR mantis) algorithms.

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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Semi-supervised learning

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Kernels for structured data by Gärtner, Thomas

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Computational Continuum Mechanics. by Shabana, Ahmed A.

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Applied integer programming : modeling and solution by Chen, Der-San, 1940-

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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

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Automatic Text Summarization by Torres-Moreno, Juan-Manuel

Table of Contents: “…Machine learning approaches; 3.3. State-of-the-art approaches; 3.4. Latent semantic analysis; 3.5. …”
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Eat, cook, grow : mixing human-computer interactions with human-food interactions

Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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Machine learning for dummies by Mueller, John, 1958-, Massaron, Luca

Table of Contents: “…Discovering the fad uses of AI and machine learning -- Considering the true uses of AI and machine learning -- Being useful -- being mundane -- Considering the Relationship between AI and Machine Learning -- Considering AI and Machine Learning Specifications -- Defining the Divide between Art and Engineering -- Chapter 2 Learning in the Age of Big Data -- Defining Big Data -- Considering the Sources of Big Data -- Building a new data source -- Using existing data sources -- Locating test data sources -- Specifying the Role of Statistics in Machine Learning -- Understanding the Role of Algorithms.…”
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Optimisation in Economic Analysis. by Mills, Gordon

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Figuring it out : entertaining encounters with everyday math by Crato, Nuno

Table of Contents: “…. -- The dinner table algorithm -- Cutting the Christmas cake -- Oranges and computers -- When two and two don't make four -- Getting more intelligent every day -- The other lane always goes faster -- Shoelaces and neckties -- Number puzzles -- Tossing a coin -- The switch -- Eubulides, the heap and the Euro -- The Earth is Round. -- How GPS works -- Gear wheels -- February 29 -- The Nonius scale -- Pedro Nunes' map -- Lighthouse geometry -- Asteroids and least squares -- The useful man and the genius -- Secret Affairs. -- Alice and Bob -- Inviolate cybersecrets -- Quantum cryptography -- The FBI wavelet -- The enigma machine -- Art and Geometry. -- The Vitruvian man -- The golden number -- The geometry of A4 paper sizes -- The strange worlds of Escher -- Escher and the Möbius strip -- Picasso, Einstein and the fourth dimension -- Pollock's fractals -- Voronoi diagrams -- The Platonic solids -- Pythagorean mosquitoes -- The most beautiful of all -- Mathematical Objects. -- The power of math -- Doubts in the realm of certainty -- When chance enhances reliability -- The difficulty of chance -- Conjectures and proofs -- Mr. …”
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Large-scale computing techniques for complex system simulations by Dubitzky, Werner

Table of Contents: “…Front Matter -- State-of-the-Art Technologies for Large-Scale Computing / Florian Feldhaus, Stefan Freitag, Chaker El Amrani -- The e-Infrastructure Ecosystem: Providing Local Support to Global Science / Erwin Laure, Aʻke Edlund -- Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents / Rainer Spurzem, Peter Berczik, Ingo Berentzen, Wei Ge, Xiaowei Wang, Hsi-yu Schive, Keigo Nitadori, Tsuyoshi Hamada, Još Fiestas -- An Overview of the SimWorld Agent-Based Grid Experimentation System / Matthias Scheutz, Jack J Harris -- Repast HPC: A Platform for Large-Scale Agent-Based Modeling / Nicholson Collier, Michael North -- Building and Running Collaborative Distributed Multiscale Applications / Katarzyna Rycerz, Marian Bubak -- Large-Scale Data-Intensive Computing / Mark Parsons -- A Topology-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks / Martin Swain, Camille Coti, Johannes Mandel, Werner Dubitzky -- QosCosGrid e-Science Infrastructure for Large-Scale Complex System Simulations / Krzysztof Kurowski, Bartosz Bosak, Piotr Grabowski, Mariusz Mamonski, Tomasz Piontek, George Kampis, L̀szl̤ Gulỳs, Camille Coti, Thomas Herault, Franck Cappello -- Glossary -- Index -- Wiley Series on Parallel and Distributed Computing.…”
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Quite right : the story of mathematics, measurement, and money by Biggs, Norman

Table of Contents: “…4. The Age of AlgorithmsHow to do arithmetic; Advances in arithmetic; The uses of arithmetic; The north-west frontier; The art of al-jabr; The origins of symbolic algebra; 5. …”
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Mathematical programming solver based on local search

Table of Contents: “…LocalSolver programming language; 2.4. The core algorithmic ideas; 2.4.1. Effective local search moves; 2.4.2. …”
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Wireless Sensor and Ad Hoc Networks Under Diversified Network Scenarios. by Sarkar, Subir Kumar

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Rediscovering mathematics : you do the math by Simonson, Shai

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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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Advances in face image analysis : theory and applications. by Fadi Dornaika

Table of Contents: “…3D FACE ALIGNMENTFACE RECOGNITION; CONCLUDING REMARKS; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Model-Less 3D Face Pose Estimation ; INTRODUCTION; STATE OF THE ART; THE MACHINE LEARNING METHODOLOGY; Locality Preserving Projections; LPP Algorithm; Supervised Locality Preserving Projections; LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION; Presetting:; Algorithm:; PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Efficient Deformable 3D Face Model Fitting to Monocular Images ; INTRODUCTION.…”
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Daylighting in Architecture : a European Reference Book. by Baker, Nick V.

Table of Contents: “…Cover; Title Page; Copyright Page; Acknowledgments; Preface; Table of Contents; Introduction; Chapter 1 Daylighting Evolution And Analysis; The Pre-industrial Period; The Industrial Revolution; Daylighting in Art Galleries; Daylighting in UK Schools; The Analytical Approach; Design Tools; The Post-fluorescent Era; European Research and Development; Chapter 2 Light and Human Requirements; Design Constraints ; Design Response ; Visual Comfort Requirements ; Chapter 3 Daylight Data ; Review of Sky Models ; Luminous Efficacy of Daylight ; Results of Measurements ; Sky Type Probabilities.…”
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