Search Results - (compilers OR computers) and interpreters.

Automatic Tuning of Compilers Using Machine Learning by Ashouri, Amir H., Palermo, Gianluca, Cavazos, John, Silvano, Cristina

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Advanced Finite Element Simulation with MSC Marc Application of User Subroutines / by Javanbakht, Zia, Öchsner, Andreas

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Separation Logic for High-level Synthesis by Winterstein, Felix

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Speech and Language Processing for Human-Machine Communications Proceedings of CSI 2015 /

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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples / by Masis, Serg, Molak, Aleksander, Rothman, Denis

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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. by Mas�is, Serg

Table of Contents: “…Understanding and preparing the data -- The data dictionary -- Data preparation -- Leveraging SHAP's KernelExplainer for local interpretations with SHAP values -- Training a C-SVC model -- Computing SHAP values using KernelExplainer -- Local interpretation for a group of predictions using decision plots -- Local interpretation for a single prediction at a time using a force plot -- Employing LIME -- What is LIME? …”
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Design of Interpretable Fuzzy Systems by Cpałka, Krzysztof

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Simultaneous Interpretation : A cognitive-pragmatic analysis. by Setton, Robin

Table of Contents: “…SI Research -- 1 Historical background -- 2 Temporal and surface variables -- 2.1 Measuring synchronicity -- 2.2 Ear-voice span (EVS) or 'lag' -- 2.3 Segmentation and processing units -- 2.4 Speech rates -- 2.5 Error analysis -- 3 A computational linguistics approach -- 4 Information-processing models of SI -- 5 The Effort Model: a processing capacity account -- 6 The Interpretive Theory of translation (IT) (th eoriedu sens) -- 7 SI in Allgemeine Translationstheorie (ATT) ('General Translation Theory') -- 8 SI research: evaluation and prospects -- 8.1 Methodology in SI research -- 8.2 Outstanding issues and controversies -- 8.2.1 Intermediate representation -- 8.2.2 SI skills and strategies -- 8.2.3 Language-specific factors -- 9 Old and new concepts in T &amp -- I research -- Chapter 3. …”
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The Routledge Handbook of Conference Interpreting. by Albl-Mikasa, Michaela

Table of Contents: “…Other Sub-Modes -- Conclusion -- Further Reading -- References -- 3 Note-Taking for Consecutive Conference Interpreting -- Introduction -- Note-taking and Practice -- Basic Principles of Note-Taking -- Empirical Research Into Traditional Note-Taking -- Note-taking and Cognition -- Correlation Between Notes and Memory -- Broadening the Cognitive Perspective: Notes as Text -- Cognitive Load and Note-Taking -- Note-taking and Technology -- Hybrid Consecutive Interpreting and Note-Taking -- Digital Pen Technology and Simultaneous-Consecutive -- Consecutive 2.0: Tablet Computer as Notepad -- Note-taking and Training -- Other Approaches to Note-Taking: Patterned Notes/mind Mapping -- The Use of Digital Pen Technology in Training.…”
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The Routledge handbook of conference interpreting /

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Getting Started in Interpreting Research : Methodological reflections, personal accounts and advice for beginners. by Gile, Daniel

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Interpreting Technologies - Current and Future Trends. by Corpas Pastor, Gloria

Table of Contents: “…Gaps in tablet interpreting research -- 10. Future directions for tablet interpreting research -- References -- Chapter 3 Towards AI-enhanced computer-assisted interpreting -- 1. …”
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Interpreting Technologies - Current and Future Trends /

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Complex Network Analysis in Python : Recognize - Construct - Visualize - Analyze - Interpret / by Zinoviev, Dmitry

Memetic Computation The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era / by Gupta, Abhishek, Ong, Yew-Soon

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Quantum Computational Chemistry Modelling and Calculation for Functional Materials / by Onishi, Taku

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Computational Information Geometry For Image and Signal Processing /

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Foundations of Computer Vision Computational Geometry, Visual Image Structures and Object Shape Detection / by Peters, James F.

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Mesoscale Models From Micro-Physics to Macro-Interpretation /

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Computational and Cognitive Neuroscience of Vision

Table of Contents: “…Neural basis of vision -- Organization of visual pathway -- Retinal mechanisms, processes, and computation -- Perceptual organization and interpretation -- Social factors of vision -- Dynamics of visual perception -- Visual illusions -- Visual disorders -- Neural basis and theory of consciousness -- Attention and cognition: biological principles and computational models -- Object recognition: biological principles and computational models -- Overview of artificial vision -- Development of robot vision -- Retinal implants -- Diagnostic sensors for visual disorders -- Cross-modal plasticity -- Vision, action, and planning -- Applications.…”
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