Search Results - (((((((ant OR wantsa) OR semantic) OR find) OR cantor) OR anne) OR place) OR hints) algorithms.

Parsing schemata for practical text analysis by Gómez-Rodríguez, Carlos

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Polynomial root-finding and polynomiography by Kalantari, Bahman

Table of Contents: “…Approximation of square-roots and their visualizations -- The fundamental theorem of algebra and a special case of Taylor's theorem -- Introduction to the basic family and polynomiography -- Equivalent formulations of the basic family -- Basic family as dynamical system -- Fixed points of the basic family -- Algebraic derivation of the basic family and characterizations -- The truncated basic family and the case of Halley family -- Characterizations of solutions of homogeneous linear recurrence relations -- Generalization of Taylor's theorem and Newton's method -- The multipoint basic family and its order of convergence -- A computational study of the multipoint basic family -- A general determinantal lower bound -- Formulas for approximation of pi based on root-finding algorithms -- Bounds on roots of polynomials and analytic functions -- A geometric optimization and its algebraic offsprings -- Polynomiography : algorithms for visualization of polynomial equations -- Visualization of homogeneous linear recurrence relations -- Applications of polynomiography in art, education, science, and mathematics -- Approximation of square-roots revisited -- Further applications and extensions of the basic family and polynomiography.…”
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Finding candidate options for investment : from building blocks to composite options and preliminary screening

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

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Digital Video and HD : Algorithms and Interfaces. by Poynton, Charles

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

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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.…”
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Handbook of mathematical formulas by Bartsch, Hans-Jochen

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

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

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Computer animation : algorithms and techniques by Parent, Rick

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Applications of multi-objective evolutionary algorithms

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

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

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

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

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Molecular bioinformatics : algorithms and applications by Schulze-Kremer, S. (Steffen)

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Markov Processes and Applications : Algorithms, Networks, Genome and Finance. by Pardoux, Etienne

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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…”
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