Geometric and Topological Inference is a monograph in computational geometry, computational topology, geometry processing, and topological data analysis...

static source code analyzer also uses some inference engine techniques. Geometric and Topological Inference Action selection Backward chaining Expert system...

trans., Cambridge University Press, 1998) Geometric and Topological Inference (with Jean-Daniel Boissonnat and Frédéric Chazal, Cambridge Texts in Applied...

1995 edition in French). With Yvinec and Frédéric Chazal, he is the coauthor of Geometric and Topological Inference (Cambridge University Press, 2018)....

features and high-probability features. One way to apply statistics to topological data analysis is to study the statistical properties of topological features...

Jean-Daniel; Chazal, Frédéric; Yvinec, Mariette (2018). Geometric and Topological Inference. Cambridge Texts in Applied Mathematics. Cambridge University...

as a theta-link and a log-link. These Hodge theaters use two main symmetries of IUT: multiplicative arithmetic and additive geometric. On one hand, Hodge...

inverse-derivation step involves essential geometric-topological reasoning. With this bi-directional framework, design constraints and objectives are encoded in the...

{\displaystyle \mathbf {Top} } , the category of topological spaces, by post-composing with the geometric realization functor. The size of a filtration refers...

metric spaces, there are more general discrete topological spaces, finite metric spaces, finite topological spaces. The time scale calculus is a unification...

ISSN 0179-5376. Yvinec, M., Chazal, F., Boissonnat, J. (2018). Geometric and Topological Inference. pp. 211. United States: Cambridge University Press. Conti...

Frédéric; Cohen-Steiner, David; Mérigot, Quentin (December 2011). "Geometric Inference for Probability Measures". Foundations of Computational Mathematics...

geometry and computer graphics, including computer aided geometric design, topology-based shape matching, topological data analysis, topological simplification...

that can be modeled as a constraint satisfaction problem include: Type inference Eight queens puzzle Map coloring problem Maximum cut problem Sudoku, crosswords...

diversity, and the other term. Ensemble learning, including both regression and classification tasks, can be explained using a geometric framework. Within...

smoothing problem where inferences about the population are made based on a finite data sample. In some fields such as signal processing and econometrics it is...

design Bayesian game Bayesian inference Bayesian inference in marketing Bayesian inference in phylogeny Bayesian inference using Gibbs sampling Bayesian...

topological and geometric methods in statistics, and topological data analysis. Her work focuses on graph mining, inference for random graphs and complex...

by restricting the topological complexity of the type spaces. However, Morley showed that (for countable theories) this topological restriction is equivalent...

square or hexagonal) of discretized cells to represent a topological world, and make inferences about which cells are occupied. Typically the cells are...

Kosaraju's algorithm in topological order and by Tarjan's algorithm in reverse topological order. For each component in the reverse topological order, if its variables...

Often a set of well-formedness conditions are imposed; these are topological or geometric constraints imposed on the structure of the diagram. For example...

through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic...

{\displaystyle X} is a topological space, there is a natural way of transforming X / ∼ {\displaystyle X/\sim } into a topological space; see Quotient space...

Imprints of negative volumes of topological features In the 1st release of CASTp server in 2006, only geometric and topological features of those surface atoms...

edition), ISBN 978-9-81463-589-9. MacKay, David J. C. Information Theory, Inference, and Learning Algorithms Cambridge: Cambridge University Press, 2003. ISBN 0-521-64298-1...

pattern, as though light were a wave, and thus Huygens's wave theory of light, as well as Huygens's inference that light waves were vibrations of the...

Double descent in statistics and machine learning is the phenomenon where a model with a small number of parameters and a model with an extremely large...

efficient geometric algorithms, the manifold learning task and various algorithms for accomplishing this task, other related visual learning and modelling...

mathematics. Topological algebra arose in the early 20th century, studying algebraic structures such as topological groups and Lie groups. In the 1940s and 50s...