Search Results - (((((((ant OR win) OR mantis) OR find) OR cantor) OR anne) OR shared) OR hints) algorithms.

The neural basis of free will : criterial causation by Tse, Peter

Table of Contents: “…Implications of Criterial Causality for Mental Representation -- The Neural Code Is Not Algorithmic -- Criterialism, Descriptivism, and Reference -- Countering Kripke's Attack -- Wittgenstein and Criteria -- Propositions and Vectorial Encodings -- Mental Operations versus Mental Representations -- Beyond Functionalism -- 9. …”
Full text (MFA users only)

Numerical Methods for Eigenvalue Problems. by Börm, Steffen

Full text (MFA users only)

Clojure for data science : statistics, big data, and machine learning for Clojure programmers by Garner, Henry

Full text (MFA users only)

Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

Full text (MFA users only)

Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
Full text (MFA users only)

Digital disciplines : attaining market leadership via the cloud, big data, social, mobile, and the internet of things by Weinman, Joe, 1958-

Full text (MFA users only)

Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

Full text (MFA users only)

The New Advertising : Branding, Content, and Consumer Relationships in the Data-Driven Social Media Era. by Wang, Ming

Table of Contents: “…Persuasive Avatars: Extending the Self through New Media AdvertisingPart III: Algorithms, Analytics, and Concerns ; 10. Road of Discovery: The Intricacies of Search Marketing; 11. …”
Full text (MFA users only)

Infinite Products of Operators and Their Applications. by Reich, Simeon

Full text (MFA users only)

The birth of computer vision by Dobson, James E.

Full text (MFA users only)

PHealth 2017 : proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 14-16 May 2017, Eindhoven, the Netherlands

Table of Contents: “…Information System of Personalized Patient's Adherence Level DeterminationSmartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices; pHealth and Population Health; Architecture for Variable Data Entry into a National Registry; Patient Summaries in Context of Large Scale EHR Networks with Fine Granular Access Control Restrictions; Behavioral Aspects; Classifying Drivers' Cognitive Load Using EEG Signals; Open Dataset for the Automatic Recognition of Sedentary Behaviors.…”
Full text (MFA users only)

Modeling semi-arid water-soil-vegetation systems by Wang, Xixi

Full text (MFA users only)

The bitcoin big bang : how alternative currencies are about to change the world by Kelly, Brian, 1971-

Table of Contents: “…; 8 Building the Nautiluscoin Economy; Dynamic Proof-of-Stake; Nautiluscoin Gross Domestic Product Target; Algorithmic Monetary Policy.…”
Full text (MFA users only)

Decision Intelligence for Dummies by Baker, Pamela

Table of Contents: “…Testing AI -- Deciding When to Weigh the Decision and When to Weigh the Impact -- Part 4 Proposing a New Directive -- Chapter 13 The Role of DI in the Idea Economy -- Turning Decisions into Ideas -- Repeating previous successes -- Predicting new successes -- Weighing the value of repeating successes versus creating new successes -- Leveraging AI to find more idea patterns -- Disruption Is the Point -- Creative problem-solving is the new competitive edge -- Bending the company culture -- Competing in the Moment -- Changing Winds and Changing Business Models -- Counting Wins in Terms of Impacts -- Chapter 14 Seeing How Decision Intelligence Changes Industries and Markets -- Facing the What-If Challenge -- What-if analysis in scenarios in Excel -- What-if analysis using a Data Tables feature -- What-if analysis using a Goal Seek feature -- Learning Lessons from the Pandemic -- Refusing to make decisions in a vacuum -- Living with toilet paper shortages and supply chain woes -- Revamping businesses overnight -- Seeing how decisions impact more than the Land of Now -- Rebuilding at the Speed of Disruption -- Redefining Industries -- Chapter 15 Trickle-Down and Streaming-Up Decisioning -- Understanding the Who, What, Where, and Why of Decision-Making -- Trickling Down Your Upstream Decisions -- Looking at Streaming Decision-Making Models -- Making Downstream Decisions -- Thinking in Systems -- Taking Advantage of Systems Tools -- Conforming and Creating at the Same Time -- Directing Your Business Impacts to a Common Goal -- Dealing with Decision Singularities -- Revisiting the Inverted V -- Chapter 16 Career Makers and Deal-Breakers -- Taking the Machine's Advice -- Adding Your Own Take -- Mastering your decision intelligence superpowers -- Ensuring that you have great data sidekicks -- The New Influencers: Decision Masters.…”
Full text (MFA users only)

CUDA Application Design and Development. by Farber, Rob

Table of Contents: “…The Nsight Timeline Analysis -- The NVTX Tracing Library -- Scaling Behavior of the CUDA API -- Tuning and Analysis Utilities (TAU) -- Summary -- 4 The CUDA Execution Model -- GPU Architecture Overview -- Thread Scheduling: Orchestrating Performance and Parallelism via the Execution Configuration -- Relevant computeprof Values for a Warp -- Warp Divergence -- Guidelines for Warp Divergence -- Relevant computeprof Values for Warp Divergence -- Warp Scheduling and TLP -- Relevant computeprof Values for Occupancy -- ILP: Higher Performance at Lower Occupancy -- ILP Hides Arithmetic Latency -- ILP Hides Data Latency -- ILP in the Future -- Relevant computeprof Values for Instruction Rates -- Little's Law -- CUDA Tools to Identify Limiting Factors -- The nvcc Compiler -- Launch Bounds -- The Disassembler -- PTX Kernels -- GPU Emulators -- Summary -- 5 CUDA Memory -- The CUDA Memory Hierarchy -- GPU Memory -- L2 Cache -- Relevant computeprof Values for the L2 Cache -- L1 Cache -- Relevant computeprof Values for the L1 Cache -- CUDA Memory Types -- Registers -- Local memory -- Relevant computeprof Values for Local Memory Cache -- Shared Memory -- Relevant computeprof Values for Shared Memory -- Constant Memory -- Texture Memory -- Relevant computeprof Values for Texture Memory -- Global Memory -- Common Coalescing Use Cases -- Allocation of Global Memory -- Limiting Factors in the Design of Global Memory -- Relevant computeprof Values for Global Memory -- Summary -- 6 Efficiently Using GPU Memory -- Reduction -- The Reduction Template -- A Test Program for functionReduce.h -- Results -- Utilizing Irregular Data Structures -- Sparse Matrices and the CUSP Library -- Graph Algorithms -- SoA, AoS, and Other Structures -- Tiles and Stencils -- Summary -- 7 Techniques to Increase Parallelism -- CUDA Contexts Extend Parallelism -- Streams and Contexts.…”
Full text (MFA users only)

Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
Full text (MFA users only)

Artificial intelligence in society.

Full text (MFA users only)

Node Web Development. by Herron, David, 1820-1900

Table of Contents: “…Npm -- the Node package managerStarting Node servers at system startup; Summary; Chapter 3: Node Modules; Defining a module; Node modules; Node's algorithm for resolving require(module); Module identifiers and path names; Local modules within your application; Bundling external dependencies with your application; System-wide modules in NODE_PATH and elsewhere; Complex modules -- modules as directories; Node package manager; The npm package format; Finding npm packages; Using the npm commands; Getting help with npm; Viewing package information; Installing an npm package.…”
Full text (MFA users only)

Building Machine Learning Systems with Python. by Richert, Willi

Table of Contents: “…A more complex dataset and a more complex classifierLearning about the Seeds dataset; Features and feature engineering; Nearest neighbor classification; Binary and multiclass classification; Summary; Chapter 3: Clustering -- Finding Related Posts; Measuring the relatedness of posts; How not to do it; How to do it; Preprocessing -- similarity measured as similar number of common words; Converting raw text into a bag-of-words; Counting words; Normalizing the word count vectors; Removing less important words; Stemming; Installing and using NLTK; Extending the vectorizer with NLTK's stemmer.…”
Full text (MFA users only)

Clinical Guide to Cardiology. by Camm, Christian Fielder

Table of Contents: “…Intro -- Clinical Guide to Cardiology -- Contents -- Contributors -- Acronyms and Abbreviations -- About the Companion Website -- PART 1 Examination Techniques -- 1 Examination Techniques -- 1.1 Common conditions to be looked for on the examination -- 1.2 Clinical examination -- peripheries -- 1.3 Clinical examination -- the praecordium -- 1.4 How to present your findings -- Safety first approach -- Ward-round based -- 1.5 Eponymous signs and symptoms -- PART 2 Approach to Presenting Complaints -- 2 Chest Pain -- 2.1 Definition -- 2.2 Diagnostic algorithm -- 2.3 Differentials list…”
Full text (MFA users only)