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261
The Johns Hopkins guide to digital media
Published 2014Table of Contents: “…Berry -- Cognitive implications of new media / Anne Mangen and Jean-Luc Velay -- Collaborative narrative / Scott Rettberg -- Collective intelligence / John Duda -- Combinatory and automatic text generation / Philippe Bootz and Christopher Funkhouser -- Computational linguistics / Inderjeet Mani -- Conceptual writing / Darren Wershler -- Copyright / Benjamin J. …”
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262
Limits, Limits Everywhere : the Tools of Mathematical Analysis
Published 2012Table of Contents: “…Continued Fractions; 9.1 Euclid's Algorithm; 9.2 Rational and Irrational Numbers as Continued Fractions; 10. …”
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263
Sentient Enterprise The Evolution of Business Decision-making.
Published 2017Full text (MFA users only)
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264
Cooperative Control of Multi-Agent Systems : Theory and Applications
Published 2017Full text (MFA users only)
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265
Microbiological sensors for the drinking water industry
Published 2018Full text (MFA users only)
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Multi-objective optimization : techniques and applications in chemical engineering
Published 2009Table of Contents: “…2.3 Biotechnology and Food Industry2.4 Petroleum Refining and Petrochemicals; 2.5 Pharmaceuticals and Other Products/Processes; 2.6 Polymerization; 2.7 Conclusions; References; Chapter 3 Multi-Objective Evolutionary Algorithms: A Review of the State-of-the-Art and some of their Applications in Chemical Engineering Antonio López Jaimes and Carlos A. …”
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269
Social sensing : building reliable systems on unreliable data
Published 2015Table 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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Applied integer programming : modeling and solution
Published 2010Full text (MFA users only)
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Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age.
Published 2018Table of Contents: “…; Disrupting the Market; The Power of Algorithms; Beyond the Digital Age; Chapter 12 Don't Become a Human Bot!…”
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276
Applied Artificial Intelligence : Proceedings of the 7th International FLINS Conference.
Published 2006Table of Contents: “…An extended branch-and-bound algorithm for fuzzy linear bilevel programming / G. …”
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277
Automatic Text Summarization
Published 2014Table of Contents: “…Machine learning approaches; 3.3. State-of-the-art approaches; 3.4. Latent semantic analysis; 3.5. …”
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278
Eat, cook, grow : mixing human-computer interactions with human-food interactions
Published 2014Table 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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279
Machine learning for dummies
Published 2016Table 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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280