Search Results - (((((((want OR wants) OR semantic) OR find) OR cantor) OR anne) OR shape) OR hints) algorithms.

Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
Full text (MFA users only)

Incidental findings in neuroimaging and their management a guide for radiologists, neurosurgeons, and neurologists

Full text (MFA users only)

Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA

Full text (MFA users only)

Natural language processing : semantic aspects by Kapetanios, Epaminondas, Tatar, Doina, 1943-, Sacarea, Christian

Full text (MFA users only)

Systematic Screening for Active Tuberculosis : Principles and Recommendations

Table of Contents: “…Rationale and objectives of screening for active TB; 3.1 Challenges to TB care and control; Large pool of undetected TB; Limitations of passive case-finding using sputum-smear microscopy; Reaching the poorest people more effectively; Detecting TB early in other vulnerable groups.…”
Full text (MFA users only)

Nearest-neighbor methods in learning and vision : theory and practice

Table of Contents: “…Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. …”
Full text (MFA users only)

Simple adaptive strategies : from regret-matching to uncoupled dynamics by Hart, Sergiu

Full text (MFA users only)

Computer Vision : Principles, Algorithms, Applications, Learning. by Davies, E. R.

Full text (MFA users only)

Applications of multi-objective evolutionary algorithms

Table of Contents: “…Non-Dominated Sorting Evolution Strategy Algorithm (NSESA)3.3. Case Studies; 3.3.1. Shape Design of a Shielded Reactor; 3.3.2. …”
Full text (MFA users only)

Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

Full text (MFA users only)

3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

Table of Contents: “…7.2 Problem Formulation7.3 Mathematical Tools; 7.4 Isometric Correspondence and Registration; 7.5 Nonisometric (Elastic) Correspondence and Registration; 7.6 Summary and Further Reading; 8 Semantic Correspondences; 8.1 Introduction; 8.2 Mathematical Formulation; 8.3 Graph Representation; 8.4 Energy Functions for Semantic Labeling; 8.5 Semantic Labeling; 8.6 Examples; 8.7 Summary and Further Reading; Part IV: Applications; 9 Examples of 3D Semantic Applications; 9.1 Introduction; 9.2 Semantics: Shape or Status; 9.3 Semantics: Class or Identity; 9.4 Semantics: Behavior; 9.5 Semantics: Position…”
Full text (MFA users only)

Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

Full text (MFA users only)

Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

Full text (MFA users only)

Learning Neo4j 3.x - Second Edition. by Baton, Jerome

Full text (MFA users only)

Computer and machine vision : theory, algorithms, practicalities by Davies, E. R. (E. Roy)

Full text (MFA users only)

Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms. by Ozdemir, Caner

Full text (MFA users only)

Standard colorimetry : definitions, algorithms, and software by Oleari, Claudio

Full text (MFA users only)

Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
Full text (MFA users only)

Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
Full text (MFA users only)

Learning JavaScript Data Structures and Algorithms : Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition. by Groner, Loiane

Table of Contents: “…Using the @@iterator objectArray entries, keys, and values; Using the from method; Using the Array.of method; Using the fill method; Using the copyWithin method; Sorting elements; Custom sorting; Sorting strings; Searching; ECMAScript 2015 -- the find and findIndex methods; ECMAScript 2016 -- using the includes method; Outputting the array into a string; The TypedArray class; Arrays in TypeScript; Summary; Chapter 4: Stacks; Creating a JavaScript data structure and algorithm library; The stack data structure; Creating an array-based Stack class; Pushing elements to the stack.…”
Full text (MFA users only)