Search Results - (((((((ant OR wants) OR ken) OR wanting) OR cantor) OR anne) OR warten) OR wants) algorithms.

Discovering knowledge in data : an introduction to data mining by Larose, Daniel T.

Table of Contents: “…DISCOVERING KNOWLEDGE IN DATA -- Contents -- Preface -- 1 An Introduction to Data Mining -- 1.1 What is Data Mining? -- 1.2 Wanted: Data Miners -- 1.3 The Need for Human Direction of Data Mining -- 1.4 The Cross-Industry Standard Practice for Data Mining -- 1.4.1 Crisp-DM: The Six Phases -- 1.5 Fallacies of Data Mining -- 1.6 What Tasks Can Data Mining Accomplish? …”
Full text (MFA users only)

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

Full text (MFA users only)

Rediscovering mathematics : you do the math by Simonson, Shai

Full text (MFA users only)

QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

Table of Contents: “…1.6.1 Channel Selection in CR Based Infrastructure Network1.6.2 Channel Selection in CR Based Ad-hoc Network; 1.7 MAC Protocols for Cognitive Radio Networks; 1.7.1 Random Access Based MAC Scheme; 1.7.2 Time-Slotted Based MAC Scheme; 1.8 Self-coexistence in Cognitive Radio Networks; 1.8.1 Resource Relocation Based Self-coexistence; 1.8.2 Resource Sharing Based Self-coexistence; 1.9 Discussion; References; 2 Cognitive Radio Network- A Review; 2.1 Spectrum Management; 2.1.1 Ant Colony Optimization Based Spectrum Management; 2.1.2 Non-linear Optimization Based Spectrum Management.…”
Full text (MFA users only)

OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python by Joshi, Prateek

Full text (MFA users only)

Better living through economics

Table of Contents: “…Introduction / John J Siegfried -- Overview: Highlights of the benefits of basic science in economics / Charles R Plott -- Comment / Daniel S Hamermesh -- Comment / Daniel Newlon -- 1: Evolution of emissions trading / Thomas H Tietenberg -- Comment / Wallace E Oates -- 2: Better living through improved price indexes / Michael J Boskin -- Comment / Jerry Hausman -- 3: Economics and the earned income tax credit / Robert A Moffitt -- Comment / V Joseph Hotz -- 4: Trade liberalization and growth in developing countries / Anne O Krueger -- Comment / Douglas A Irwin -- 5: Role of economics in the welfare-to-work reforms of the 1990s / Rebecca M Blank -- Comment / Nancy Folbre -- 6: Better living through monetary economics / John B Taylor -- Comment Laurence H Meyer -- 7: Greatest auction in history / R Preston McAfee, John McMillan, Simon Wilkie -- Comment / Jeremy Bulow -- 8: Air-transportation deregulation / Elizabeth E Bailey -- Comment / Nancy L Rose -- 9: Deferred-acceptance algorithms: history, theory, practice / Alvin E Roth -- Comment / Peter Cramton -- 9: Economics, economists, and antitrust: a tale of growing influence / Lawrence J White -- Comment / Kenneth G Elzinga -- 11: Economics and the all-volunteer military force / Beth J Asch, James C Miller III, John T Warner -- Comment / Walter Y Oi -- 12: Public policy and saving for retirement: the autosave features of the Pension Protection Act of 2006 / John Beshears [and others] -- Comment / Robert J Shiller -- Contributors -- Index.…”
Full text (MFA users only)

Robotics : science and systems III

Table of Contents: “…Ng -- A Fast and Practical Algorithm for Generalized Penetration Depth Computation / Liangjun Zhang, Young J. …”
Full text (MFA users only)

Numerical Methods for Eigenvalue Problems. by Börm, Steffen

Full text (MFA users only)

Microbiological sensors for the drinking water industry

Full text (MFA users only)

Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

Full text (MFA users only)

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.…”
Full text (MFA users only)

Applied Artificial Intelligence : Proceedings of the 7th International FLINS Conference. by Arena, Paolo, Fortuna, Luigi

Table of Contents: “…An extended branch-and-bound algorithm for fuzzy linear bilevel programming / G. …”
Full text (MFA users only)

The Johns Hopkins guide to digital media

Table of Contents: “…Ross -- Virtual reality / Ken Hillis -- Virtuality / Michael Heim -- Walkthrough / Frederik De Grove and Jan Van Looy -- Web comics / Karin Kukkonen -- Wiki writing / Seth Perlow -- Windows / Jay David Bolter -- Word-image / Maria Engberg -- Worlds and maps / Bjarke Liboriussen -- Writing under constraint / Anastasia Salter.…”

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

Full text (MFA users only)

Debates in the digital humanities 2016

Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
Full text (MFA users only)

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).…”
Full text (MFA users only)

OpenCV Android Programming By Example. by Muhammad, Amgad

Full text (MFA users only)

Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

Full text (MFA users only)

Machine Learning with Swift : Artificial Intelligence for iOS. by Sosnovshchenko, Oleksandr

Full text (MFA users only)

Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

Full text (MFA users only)