Search Results - (((((((ant OR mind) OR semantic) OR win) OR cantor) OR anne) OR share) OR hints) algorithms.

Metaheuristics for vehicle routing problems. by Labadie, Nacima

Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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Industrial control systems

Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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The Decisionist Imagination : Sovereignty, Social Science and Democracy in the 20th Century. by Guilhot, Nicolas

Table of Contents: “…Reading the International Mind; Chapter 2. Militant Democracy as Decisionist Liberalism; Chapter 3. …”
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Resources utilization and productivity enhancement case studies by Mital, Anil, Pennathur, Arunkumar

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Kernels for structured data by Gärtner, Thomas

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Computational models of argument : Proceedings of COMMA 2012

Table of Contents: “…Simari -- Automated Deployment of Argumentation Protocols / Michael Rovatsos -- On Preferred Extension Enumeration in Abstract Argumentation / Katie Atkinson -- Towards Experimental Algorithms for Abstract Argumentation / Katie Atkinson.…”
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Automata and Computability. by Kozen, Dexter, 1951-

Table of Contents: “…Miscellaneous Exercises Turing Machines and Effective ComputabilityHints for Selected Miscellaneous Exercises; Solutions to Selected Miscellaneous Exercises; References; Notation and Abbreviations; Index.…”
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QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

Table of Contents: “…1.6.1 Channel Selection in CR Based Infrastructure Network1.6.2 Channel Selection in CR Based Ad-hoc Network; 1.7 MAC Protocols for Cognitive Radio Networks; 1.7.1 Random Access Based MAC Scheme; 1.7.2 Time-Slotted Based MAC Scheme; 1.8 Self-coexistence in Cognitive Radio Networks; 1.8.1 Resource Relocation Based Self-coexistence; 1.8.2 Resource Sharing Based Self-coexistence; 1.9 Discussion; References; 2 Cognitive Radio Network- A Review; 2.1 Spectrum Management; 2.1.1 Ant Colony Optimization Based Spectrum Management; 2.1.2 Non-linear Optimization Based Spectrum Management.…”
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Mathematical morphology and its applications to image and signal processing

Table of Contents: “…Geodesic Set Definition in Case of Empty Intersection -- The Morphological-Affine Object Deformation -- Affine Invariant Mathematical Morphology Applied to a Generic Shape Recognition Algorithm -- Filtering -- Folding Induced Self-Dual Filters -- Flexible Linear Openings and Closings -- Some Applications of Aperture Filters -- GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration -- Connectivity and Connected Operators -- New Insight on Digital Topology -- Approximate Connectivity and Mathematical Morphology -- Multiresolution Connectivity: An Axiomatic Approach -- Connected Operators Based on Region-Tree Pruning -- Segmentation -- Image Segmentation Based on the Derivative of the Morphological Profile -- Flooding and Segmentation -- A Morphological Multi-Scale Gradient for Color Image Segmentation -- Automatic Watershed Segmentation of Color Images -- Motion Segmentation using Seeded Region Growing -- A Segmentation Pyramid for the Interactive Segmentation of 3-D Images and Video Sequences -- Partition Lattice Operators for Extraction of Semantic Video Objects -- Texture Analysis -- Morphological Granulometric Deconstruction -- Surface Texture Classification from Morphological Transformations -- Content Dependent Image Sampling using Mathematical Morphology: Application to Mipmapping -- Multiresolution Techniques and Scale-Spaces -- Morphological Pyramids and Wavelets Based on the Quincunx Lattice -- Morphological Scale-Space Operators: An Algebraic Framework -- An Idempotent Scale-Space Approach for Morphological Segmentation -- Algorithms -- Efficient Dilation, Erosion, Opening and Closing Algorithms -- Fast Morphological Attribute Operations using Tarjan's Union-Find Algorithm -- A Change Detector Based on Level Sets -- A General Algorithm for Computing Distance Transforms in Linear Time -- The Ordered Queue and the Optimality of the Watershed Approaches -- Discrete 3D Wave Propagation for Computing Morphological Operations from Surface Patches and Unorganized Points -- Applications -- Two-Stage Lossy/Lossless Compression of Grayscale Document Images -- Boosting OCR Classifier by Optimal Edge Noise Filtering -- Morphological Bank Check Logo Segmentation with Few a Priori Knowledge -- Morphological Pseudo Convex Hull to Correct Handwriting Baseline Skew -- Morphological Segmentation of Text and Figures in Renaissance Books (XVI Century) -- Application of Mathematical Morphology and Markov Random Field Theory to the Automatic Extraction of Linear Features in Airborne Images -- Testing Some Morphological Approaches to Face Localization -- Quantitative Description of Telecommunication Networks by Simulation -- Author Index.…”
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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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The data imperative : how digitalization is reshaping management, organizing, and work by Schildt, Henri

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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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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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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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Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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High Performance Computing Systems and Applications & OSCAR Symposium. by International Symposium on High Performance Computing Systems and Applications (17th : 2003 : Sherbrooke, Quebec)

Table of Contents: “…""The Impact of Hyper-Threading on Communication Performance in HPC Clusters""""A Preliminary Feasibility Study of the LARPBS Optical Bus Parallel Model""; ""Efficient Broadcast on Computational Grids""; ""The Canadian Internetworked Scientific Supercomputer""; ""Distributed Beagle: An Environment for Parallel and Distributed Evolutionary Computations""; ""A Brief Introduction to UPC""; ""SCOJO -- Share-Based Job Coscheduling with Integrated Dynamic Resource Directory in Support Or Grid Scheduling""…”
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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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The attacker's advantage : turning uncertainty into breakthrough opportunities by Charan, Ram

Table of Contents: “…-- Bends in the road -- Why structural uncertainty is different -- The mathematical corporation : the algorithmic revolution and the rise of the math house -- Searching for early warning signals -- Identifying the catalysts of structural change -- Seeing what catalysts see -- Tools to build perceptual acuity -- How Tata Communications expands the organization's lens -- Defining the path -- A mind-set for offense -- Kaiser Permanente's path through the turmoil in health care -- The joint practice session : transparency and coordination -- How Keurig Green Mountain adopted the joint practice session -- The what, who, and how of decision making : zeroing in on the organization's critical decision nodes -- Steering on two tracks -- Merck's quick organizational turn to offense.…”
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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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