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Manifold Learning Theory and Applications

, image processing, and computer vision. Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the;

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications;

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Gauge Theory and the Topology of Four-manifolds

interest in this study is the connection between the gauge theory moduli spaces of a Kahler manifold and the algebro-geometric moduli space;

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The Equilibrium Manifold

manifold. In The Equilibrium Manifold, noted economic scholar and major contributor to the theory of general equilibrium Yves Balasko argues that;

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Differential Geometry with Applications to Mechanics and Physics

spaces; differentiable manifold and mapping submanifolds; tangent vector space; tangent bundle, vector field on manifold, Lie algebra structure;

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Essentials of Topology with Applications

more advanced topics of algebraic topology and manifold theory. He also explores meaningful applications in a number of areas, including the;

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Essentials of Topology with Applications

more advanced topics of algebraic topology and manifold theory. He also explores meaningful applications in a number of areas, including the;

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Circle-valued Morse Theory

of Lagrangian intersections, fibrations of manifolds over the circle, dynamical zeta functions, and the theory of knots and links in the three;

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Bifurcation Theory of Impulsive Dynamical Systems

, stability, and invariant manifold theory. Special attention is paid to the centre manifold and associated reduction principle, as these are;

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Bifurcation Theory of Impulsive Dynamical Systems

, stability, and invariant manifold theory. Special attention is paid to the centre manifold and associated reduction principle, as these are;

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Machine Learning in Medical Imaging

, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection;

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Principles of Algebraic Geometry

tools. Coverage ranges from analytic to geometric. Treats basic techniques and results of complex manifold theory, focusing on results;

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Motivic Homotopy Theory and Refined Enumerative Geometry

This volume contains the proceedings of the Workshop on Motivic Homotopy Theory and Refined Enumerative Geometry, held from May 14-18, 2018;

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New Technologies and Language Learning

previous technology use (including Computer Assisted Language Learning) theory and research, and describes practical applications for both second;

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Mathematical Foundations of Game Theory

of important and more recent topics such as the equilibrium manifold and learning dynamics, the book quickly takes the reader close to the state of the;

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Higher Index Theory

Index theory studies the solutions to differential equations on geometric spaces, their relation to the underlying geometry and topology;

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Supermanifolds

This is an updated and expanded second edition of a successful and well-reviewed text presenting a detailed exposition of the modern theory;

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Machine Learning Theoretical Foundations and Practical Applications

algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory;

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Advanced Ceramics and Applications

New ceramic materials are highly appreciated due to their manifold features including mechanical properties, environmental uses, energy;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models;

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Theory and Practice of Computation

The papers included in the proceedings focus on both theoretical and practical aspects of computations, such as programming language theory;

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Discrete Chaos

on discrete dynamical systems, including trace-determinant stability, bifurcation analysis, and the detailed analysis of the center manifold;

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Theory and Applications of Abstract Semilinear Cauchy Problems

monograph provides a self-contained and comprehensive presentation of the fundamental theory of non-densely defined semilinear Cauchy problems and;

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Cognitive Computing: Theory and Applications

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its;

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Degree Theory of Immersed Hypersurfaces

Riemannian manifold, where $K$ is any elliptic curvature function. They apply this theory to count the (algebraic) number of immersed hyperspheres;

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Decision Theory Models for Applications in Artificial Intelligence

of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial;

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Handbook of Reinforcement Learning and Control

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory;

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