Search Results - empirical ((((algoritmus OR algorithmic) OR algorithmens) OR algorithmens) OR algorithms)

Nuclear Magnetic Resonance Spectroscopy Of Liquid Crystals.

Table of Contents: “…Spectral analysis using Evolutionary Algorithms -- 1. 7. Conclusions -- Acknowledgments -- References -- 2. …”
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Predictive Modeling of Pharmaceutical Unit Operations. by Pandey, Preetanshu

Table of Contents: “…3.5.1.2 Improvements in the efficiency of solution methods, algorithms, and compute architecture3.5.1.3 Advancement in analysis techniques with commercial and open source software; 3.5.2 Case study: creating a material model; 3.6 Summary and outlook; Acknowledgements; References; 4 Dry granulation process modeling; 4.1 Introduction; 4.2 Challenges in dry granulation modeling and recent progress; 4.2.1 Roller compaction technology; 4.2.2 Theoretical background; 4.2.3 Common problems of roller compaction and progress; 4.3 Modeling tools; 4.3.1 DEM modeling; 4.3.2 FEM modeling.…”
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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…Discussion -- 6.1 The learning algorithm -- 6.2 Conceptualizing Learning.…”
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Data Analysis and Applications 1 : New and Classical Approaches. by Skiadas, Christos

Table of Contents: “…From statistical learning theory to empirical validation…”
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Social media analytics for user behavior modeling : a task heterogeneity perspective by Nelakurthi, Arun Reddy, He, Jingrui

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Qualitative Spatial and Temporal Reasoning. by Ligozat, Gérard

Table of Contents: “…Ladkin and Reinefeld's algorithm; 2.4.2. Empirical study of the consistency problem; 2.5. …”
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Artificial intelligence research and development : current challenges, new trends and applications

Table of Contents: “…-- An Argumentation Approach for Agreement Analysis in Reddit Debates -- Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction -- N-Channel Convolutional Neural Networks for Irony Detection in Twitter -- A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition -- Classifying and Generalizing Successful Parameter Combinations for Sound Design -- A Visual Distance for WordNet -- Enhancing Text Spotting with a Language Model and Visual Context Information -- Cognitive Systems and Agents -- What Is the Physics of Intelligence? …”
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Neural networks in chemical reaction dynamics

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Business models : innovation, digital transformation, and analytics

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Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. by Pahlavan, Kaveh, 1951-

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Advances In Artificial Intelligence For Privacy Protection And Security.

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Principles of mathematical petrophysics by Doveton, John H., 1944-

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Introduction to OFDM receiver design and simulation by Liu, Y. J.

Table of Contents: “…References-7 Error-Correcting Codes and Interleaver-7.1 Introduction-7.2 Linear Block Codes-7.2.1 Generator Matrix-7.2.2 Parity Check Matrix-7.2.3 Syndrome-7.2.4 Error Correction-7.2.5 Hamming Codes-7.3 Cyclic Codes-7.3.1 Generator Polynomial-7.3.2 Syndrome Polynomial-7.4 Convolutional Code-7.4.1 Convolutional Encoder-7.4.2 Convolutional Decoder and Viterbi Algorithm-7.4.3 Convolutional Code in the IEEE 802.11a-7.4.4 Punctured Convolutional Codes-7.5 Interleaver-7.5.1 Illustration of an Interleaver-7.5.2 Interleaver Used in the IEEE 802.11a…”
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Introduction to Bayesian estimation and copula models of dependence by Shemyakin, Arkady

Table of Contents: “…4 Markov Chain Monte Carlo Methods4.1 Markov Chain Simulations for Sun City and Ten Coins; 4.2 Metropolis-Hastings Algorithm; 4.3 Random Walk MHA; 4.4 Gibbs Sampling; 4.5 Diagnostics of MCMC; 4.5.1 Monitoring Bias and Variance of MCMC; 4.5.2 Burn-in and Skip Intervals; 4.5.3 Diagnostics of MCMC; 4.6 Suppressing Bias and Variance; 4.6.1 Perfect Sampling; 4.6.2 Adaptive MHA; 4.6.3 ABC and Other Methods; 4.7 Time-to-Default Analysis of Mortgage Portfolios; 4.7.1 Mortgage Defaults; 4.7.2 Customer Retention and Infinite Mixture Models; 4.7.3 Latent Classes and Finite Mixture Models.…”
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Reproducibility : principles, problems, practices, and prospects

Table of Contents: “…6.3 Extending BMS (and NML#): BMS* -- 6.4 Replication Variance and Reproducibility -- 6.4.1 Within- and Between-Setting Replication Variance and the True State of the World -- 6.4.2 Reproducibility -- 6.4.3 A Toy Example -- 6.5 Final Remark -- References -- Chapter 7 Reproducibility from the Perspective of Meta-Analysis -- 7.1 Introduction -- 7.2 Basics of Meta-Analysis -- 7.2.1 Conceptual Preliminaries -- 7.2.2 Systematic Reviews -- 7.2.3 Fixed-Effects and Random-Effects Meta-Analysis -- 7.2.4 Biases in Meta-Analysis -- 7.3 Meta-Analysis of Mind-Matter Experiments: A Case Study -- 7.3.1 Statistical Modeling -- 7.3.2 Analysis of the Ramp -- N Data -- 7.4 Summary -- References -- Chapter 8 Why Are There So Many Clustering Algorithms, and How Valid Are Their Results? -- 8.1 Introduction -- 8.1.1 Data Mining and Knowledge Discovery -- 8.1.2 Choices and Assumptions -- 8.2 Supervised and Unsupervised Learning -- 8.3 Cluster Validity as Easiness in Classification -- 8.3.1 Instance Easiness for Supervised Learning -- 8.3.2 Clustering-Quality Measures Based on Supervised Learning -- 8.3.3 Using the Clustering-Quality Measures mp and mc -- 8.4 Applying Clustering-Quality Measures to Data -- 8.4.1 Clustering Based on Prediction Strength -- 8.4.2 Studies with Synthetic Data -- 8.4.3 Studies with Empirical Data -- 8.5 Other Clustering Models -- 8.5.1 Hierarchical Clustering -- 8.5.2 Fuzzy Clustering -- 8.6 Summary -- References -- Part III: Physical Sciences -- Chapter 9 Facilitating Reproducibility in ScientificComputing: Principles and Practice -- 9.1 Introduction -- 9.2 A Culture of Reproducibility -- 9.2.1. …”
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Digital disciplines : attaining market leadership via the cloud, big data, social, mobile, and the internet of things by Weinman, Joe, 1958-

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Evidencing the Productive Value of the 4IR in the AEC Sector. by Ejohwomu, Obuks A.

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python : A Beginner's Guide to Advanced Data Analysis. by Denis, Daniel J.

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Modern portfolio theory : foundations, analysis, and new developments + website by Francis, Jack Clark

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Handbook of safety principles

Table of Contents: “…Goal Programming / Yan-Fu Li / Enrico Zio -- 23.3.4. Evolutionary Algorithms / Yan-Fu Li / Enrico Zio -- 23.4. Performance Measures / Yan-Fu Li / Enrico Zio -- 23.5. …”
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