Search Results - (((((((ant OR wantis) OR semantic) OR find) OR cantor) OR anne) OR plane) OR hints) algorithms.

Informatics and technology in clinical care and public health

Table of Contents: “…Intro -- Title Page -- Preface -- ICIMTH 2021 Scientific Programme Committee and Reviewers -- Contents -- Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers -- A Comparison of Word Embeddings to Study Complications in Neurosurgery -- Gulf Cooperation Council Clinical Trials in the Pursuit of Medications for COVID-19…”
Full text (MFA users only)

International assessment of research and development in simulation-based engineering and science

Table of Contents: “…Leadership in SBE & S; 4 Opportunities for the United States to Gain or Reinforce Lead in SBE & S through Strategic Research and Investments; 5 Key Study Findings; 5.1 Thematic Area: Life Sciences and Medicine; 5.2 Thematic Area: Materials; 5.3 Thematic Area: Energy and Sustainability; 5.4 Crosscutting Issues: Next Generation Architectures and Algorithms; 5.5 Crosscutting Issues: Scientific and Engineering Simulation Software Development.…”
Full text (MFA users only)

The Oxford guide to library research by Mann, Thomas, 1948-

Full text (MFA users only)

Mastering D3.js. by Castillo, Pablo Navarro

Table of Contents: “…Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3.…”
Full text (MFA users only)

Bayesian Statistics and Marketing. by Rossi, Peter E. (Peter Eric), 1955-

Table of Contents: “…3.6 Conditional Distributions and Directed Graphs3.7 Hierarchical Linear Models; 3.8 Data Augmentation and a Probit Example; 3.9 Mixtures of Normals; 3.10 Metropolis Algorithms; 3.11 Metropolis Algorithms Illustrated with the Multinomial Logit Model; 3.12 Hybrid Markov Chain Monte Carlo Methods; 3.13 Diagnostics; 4 Unit-Level Models and Discrete Demand; 4.1 Latent Variable Models; 4.2 Multinomial Probit Model; 4.3 Multivariate Probit Model; 4.4 Demand Theory and Models Involving Discrete Choice; 5 Hierarchical Models for Heterogeneous Units; 5.1 Heterogeneity and Priors.…”
Full text (MFA users only)

Mathematical methods in computer aided geometric design II

Table of Contents: “…A New Characterization of PlaneElastica; 1. Introduction; 2. A Characterization of Elástica by their Curvature Function; 3. …”
Full text (MFA users only)

Robotics : science and systems IV

Table of Contents: “…Preface; Organizing Committee; Program Committee; Sponsors; Multi-Sensor Lane Finding in Urban Road Networks; Laser and Vision Based Outdoor Object Mapping; Fast Probabilistic Labeling of City Maps; Clustering Sensor Data for Terrain Identification using a Windowless Algorithm; Distributed Localization of Modular Robot Ensembles; Controlling Shapes of Ensembles of Robots of Finite Size with Nonholonomic Constraints; Stochastic Recruitment; Prior Data and Kernel Conditional Random Fields for Obstacle Detection; SARSOP…”
Full text (MFA users only)

Aha! Solutions by Erickson, Martin

Table of Contents: “…-- Lines Dividing the Plane -- A Number that Counts -- A Broken Odometer -- How Many Matrices? …”
Full text (MFA users only)

Advanced Analytics with R and Tableau. by Stirrup, Jen

Table of Contents: “…Chapter 6: Advanced Analytics Using ClusteringWhat is Clustering?; Finding clusters in data; Why can't I drag my Clusters to the Analytics pane?…”
Full text (MFA users only)

Do macroeconomic effects of capital controls vary by their type? : evidence from Malaysia by Tamirisa, Natalia T.

Full text (MFA users only)

Machine learning for protein subcellular localization prediction by Wan, Shibiao, Mak, M. W.

Table of Contents: “…5.2.2 Problem transformation methods -- 5.2.3 Multi-label classification in bioinformatics -- 5.3 mGOASVM: A predictor for both single- and multi-location proteins -- 5.3.1 Feature extraction -- 5.3.2 Multi-label multiclass SVM classification -- 5.4 AD-SVM: An adaptive decision multi-label predictor -- 5.4.1 Multi-label SVM scoring -- 5.4.2 Adaptive decision for SVM (AD-SVM) -- 5.4.3 Analysis of AD-SVM -- 5.5 mPLR-Loc: A multi-label predictor based on penalized logistic regression -- 5.5.1 Single-label penalized logistic regression -- 5.5.2 Multi-label penalized logistic regression -- 5.5.3 Adaptive decision for LR (mPLR-Loc) -- 5.6 Summary -- 6 Mining deeper on GO for protein subcellular localization -- 6.1 Related work -- 6.2 SS-Loc: Using semantic similarity over GO -- 6.2.1 Semantic similarity measures -- 6.2.2 SS vector construction -- 6.3 HybridGO-Loc: Hybridizing GO frequency and semantic similarity features -- 6.3.1 Hybridization of two GO features -- 6.3.2 Multi-label multiclass SVM classification -- 6.4 Summary -- 7 Ensemble random projection for large-scale predictions -- 7.1 Random projection -- 7.2 RP-SVM: A multi-label classifier with ensemble random projection -- 7.2.1 Ensemble multi-label classifier -- 7.2.2 Multi-label classification -- 7.3 R3P-Loc: A compact predictor based on ridge regression and ensemble random projection -- 7.3.1 Limitation of using current databases -- 7.3.2 Creating compact databases -- 7.3.3 Single-label ridge regression -- 7.3.4 Multi-label ridge regression -- 7.4 Summary -- 8 Experimental setup -- 8.1 Prediction of single-label proteins -- 8.1.1 Datasets construction -- 8.1.2 Performance metrics -- 8.2 Prediction of multi-label proteins -- 8.2.1 Dataset construction -- 8.2.2 Datasets analysis -- 8.2.3 Performance metrics -- 8.3 Statistical evaluation methods -- 8.4 Summary.…”
Full text (MFA users only)

Perspectives on libraries as institutions of human rights and social justice

Table of Contents: “…Brief Description of Organization; VIII. Findings; A. The Board of Trustees (BoT) Meeting; IX. …”
Full text (MFA users only)

Hybrid intelligence for image analysis and understanding

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)

Nonlinear parameter optimization using R tools by Nash, John C., 1947-

Table of Contents: “…; 4.6 Being a smart user of root-finding programs.…”
Full text (MFA users only)

Medical and Care Compunetics 2 : Medical and Care Compunetics 2. by Bos, L.

Table of Contents: “…Standardized Semantic Markup for Reference Terminologies, Thesauri and Coding Systems: Benefits for Distributed E-Health ApplicationsDevelopment of an Expert System for Classification of Medical Errors; Model of Good Practice Tools for Risk Reduction and Clinical Governance; Optimisation Issues of High Throughput Medical Data and Video Streaming Traffic in 3G Wireless Environments; A New Algorithm for Content-Based Region Query in Databases with Medical Images; Economic Impact of Telemedicine: A Survey.…”
Full text (MFA users only)

FRBR, before and after : a look at our bibliographic models by Coyle, Karen

Full text (MFA users only)

Programming interviews exposed : secrets to landing your next job by Mongan, John, 1976-, Suojanen, Noah, 1978-, Giguère, Eric, 1967-

Table of Contents: “…Chapter 1: Before the Search; Know Yourself; Know the Market; Develop Marketable Skills; Get Things Done; Manage Your Online Profile; Summary; Chapter 2: The Job Application Process; Finding and Contacting Companies; The Interview Process; A Recruiter's Role; Offers and Negotiation; Summary; Chapter 3: Approaches to Programming Problems; The Process; Solving the Problems; Analyzing Your Solution; Summary.…”
Full text (MFA users only)

Synesthetic design : handbook for a multisensory approach by Haverkamp, Michael, 1958-

Table of Contents: “…: Function and significance -- Consciously constructing: mathematical and physical connections : Algorithms and concepts ; Objective color-sound relations -- Part 3. …”
Full text (MFA users only)

DataFlow supercomputing essentials : research, development and education

Full text (MFA users only)