Search Results - (((((((ant OR wantsa) OR semantic) OR want) OR cantor) OR anne) OR slave) OR mantis) algorithms.

Learning-based local visual representation and indexing by Rongrong, Ji, Yao, Hongxun, Gao, Yue, Duan, Ling-Yu, Dai, Qionghai

Table of Contents: “…3.4.1 Cross-database Case3.4.2 Incremental Transfer; 3.5 Experiments; 3.5.1 Quantitative results; 3.6 Summary; Chapter 4: Supervised Dictionary Learning via Semantic Embedding ; 4.1 Introduction; 4.2 Semantic Labeling Propagation; 4.2.1 Density Diversity Estimation ; 4.3 Supervised Dictionary Learning; 4.3.1 Generative Modeling ; 4.3.2 Supervised Quantization ; 4.4 Experiments; 4.4.1 Database and Evaluations; 4.4.2 Quantitative Results; 4.5 Summary; Chapter 5: Visual Pattern Mining; 5.1 Introduction; 5.2 Discriminative 3D Pattern Mining; 5.2.1 The Proposed Mining Scheme.…”
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Media Backends : Digital Infrastructures and Sociotechnical Relations. by Parks, Lisa

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Java programming interviews exposed by Markham, Noel

Table of Contents: “…Chapter 18: Useful LibrariesRemoving Boilerplate Code with Apache Commons; Developing with Guava Collections; Using Joda Time; Summary; Chapter 19: Developing with Build Tools; Building Applications with Maven; Ant; Summary; Chapter 20: Android; Basics; User Interface; Persistence; Android Hardware; Summary; Appendix: Introducing Scala; Scala Basics; Functions as Values; Immutability; Summary; Index.…”
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Pattern discovery in biomolecular data : tools, techniques, and applications

Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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Advanced Analytics with R and Tableau. by Stirrup, Jen

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Big Data, IoT, and Machine Learning : Tools and Applications. by Agrawal, Rashmi

Table of Contents: “…Chapter 3 Reviews Analysis of Apple Store Applications Using Supervised Machine Learning -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Machine Learning Algorithms -- 3.2.2 Feature Extraction Algorithms -- 3.3 Proposed Methodology -- 3.3.1 Data Collection -- 3.3.2 Feature Extraction -- 3.3.3 Data Analysis and Sentiment Analysis -- Text Processing -- 3.3.4 Text Normalisation -- 3.4 Feature Extraction Algorithm -- 3.4.1 CountVectorizer -- 3.4.2 TfidfVectorizer (TF-IDF) -- 3.5 Supervised ML Classification -- 3.6 Experiment Design -- 3.7 Experimental Results and Analysis…”
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Applied Parallel Computing. by Deng, Yuefan

Table of Contents: “…Parallel Profilers; Chapter 5. Design of Algorithms; 5.1. Algorithm Models; 5.1.1. Master-slave; 5.1.2. …”
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Knowledge discovery for business information systems

Table of Contents: “…Problem Description -- 3. The FUP Algorithm for the Insertion Only Case -- 4. The FUP Algorithm for the Deletions Only Case -- 5. …”
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Advanced Artificial Intelligence.

Table of Contents: “…Applications of temporal and spatial logic; 4.7.4. Randell algorithm; Exercises; Chapter 5 Case-Based Reasoning; 5.1 Overview; 5.2 Basic Notations; 5.3 Process Model; 5.4 Case Representation; 5.4.1 Semantic Memory Unit; 5.4.2 Memory Network; 5.5 Case Indexing; 5.6 Case Retrieval; 5.7 Similarity Relations in CBR; 5.7.1 Semantic similarity; 5.7.2 Structural similarity; 5.7.3 Goal's features; 5.7.4 Individual similarity; 5.7.5 Similarity assessment; 5.8 Case Reuse; 5.9 Case Retainion; 5.10 Instance-Based Learning.…”
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Applied Artificial Intelligence : Proceedings of the 7th International FLINS Conference. by Arena, Paolo, Fortuna, Luigi

Table of Contents: “…Integrated operations in arctic environments / F. wre. Can the semantic web be designed without using fuzzy logic? …”
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Web-based learning : men and machines - proceedings of the first international conference on web-based learning in china (icwl 2002). by REGGIE, KWAN

Table of Contents: “…Patterns of Web Based Learning in the Semantic Web Era ; PART THREE Tools.…”
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Internet+ and electronic business in China : innovation and applications

Table of Contents: “…Emotional analysis of online reviews on e-business platforms -- Chapter 14. Semantic search of online reviews on e-business platforms -- Part IV. …”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Technologies for Engineering Manufacturing Systems Control in Closed Loop. by Preuße, Sebastian

Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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Mastering Scala machine learning by Kozlov, Alexander

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Computational intelligence in aerospace sciences

Table of Contents: “…Coello Coello and Oliver Schütze ; Function landscapes and the difficulty of global optimization / Marco Locatelli ; Stochastic methods for single objective global optimization / Christian Lorenz Müller ; Uncertainty quantification in computational science / Gianluca Iaccarino ; Basic concepts of game theory for aerospace engineering applications / Lina Mallozzi -- Autonomy and robotics: Nonlinear state estimation algorithms for autonomous vehicles / Kumar Pakki Bharani Chandra and Da-Wei Gu ; Path planning algorithms in 2-D and 3-D obstacle-rich environments / Rosli Omar, Batu Pahat, Da-Wei Gu; Semantics of perception and action for symbolic reasoning in aerospace systems Sandor M. …”
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Information Theory Meets Power Laws : Stochastic Processes and Language Models. by Dębowski, Łukasz Jerzy, $$d 1975- $$e author

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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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International e-Conference of Computer Science 2006

Table of Contents: “…A Computational Algorithm to Obtain the Law of the Solvable Lie Algebra of n x n Upper-Triangular MatricesWeb Data Extraction using Semantic Generators -- Integrity-Enhanced Improvements for ISO 9001 registeredOrganizations -- A Ghost Bit Based Finite Field Arithmetic for FPGAs -- A Scalable Finite Field Multiplier with Interleaving Reduction -- Intelligent Tutoring Systems and Convex Geometries -- Towards Operational Content Infrastructure -- A Computational Fusion of Wavelets and Neural Networks in a Classifier for Biomedical Applications…”
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