Metric, Topology and Multicategory – a Common Approach
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New Multicategory Boosting Algorithms Based on Multicategory Fisher-Consistent Losses by Hui
The Annals of Applied Statistics 2008, Vol. 2, No. 4, 1290–1306 DOI: 10.1214/08-AOAS198 © Institute of Mathematical Statistics, 2008 NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES BY HUI ZOU1,JI ZHU AND TREVOR HASTIE University of Minnesota , University of Michigan and Stanford University Fisher-consistent loss functions play a fundamental role in the construc- tion of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategory classification problems. Our approach uses the margin vector concept which can be regarded as a multicategory generalization of the binary margin. We characterize a wide class of smooth convex loss functions that are Fisher-consistent for multi- category classification. We then consider using the margin-vector-based loss functions to derive multicategory boosting algorithms. In particular, we de- rive two new multicategory boosting algorithms by using the exponential and logistic regression losses. 1. Introduction. The margin-based classifiers, including the support vector machine (SVM) [Vapnik (1996)] and boosting [Freund and Schapire (1997)], have demonstrated their excellent performances in binary classification problems. Re- cent statistical theory regards binary margin-based classifiers as regularized em- pirical risk minimizers with proper loss functions. Friedman, Hastie and Tibshi- rani (2000) showed that AdaBoost minimizes the novel exponential loss by fitting a forward stage-wise additive model. In the same spirit, Lin (2002) showed that the SVM solves a penalized hinge loss problem and the population minimizer of the hinge loss is exactly the Bayes rule, thus, the SVM directly approximates the Bayes rule without estimating the conditional class probability. -
SOBER APPROACH SPACES 1. Introduction in This Article We Will
SOBER APPROACH SPACES B. BANASCHEWSKI, R. LOWEN, C. VAN OLMEN 1. Introduction In this article we will introduce the notion of sobriety for approach spaces, modelled after the corresponding familiar concept in the case of topological spaces. Recall that the latter is closely linked to the relationship between the categories Top of topological spaces and Frm of frames, these being certain complete lattices which may be viewed as abstractly defined lat- tices of virtual open sets. More specifically, the connection between these categories is provided by a pair of contravariant functors, adjoint on the right, which assign to each topological space its frame of open subsets and to each frame its spectrum. Sober spaces are then those spaces for which the corresponding adjunction map is a homeomorphism. In the approach setting, the so-called regular function frame of an ap- proach space takes over the role of the frame of open sets in topology and accordingly we introduce an abstractly defined version of this, called an ap- proach frame. This leads to the contravariant functor R from the category AP of approach spaces to AFrm of approach frames and the spectrum func- tor Σ in the opposite direction. R and Σ are then adjoint on the right and an approach space X is called sober if the corresponding adjunction map X → ΣRX is an isomorphism. The purpose of this paper is to give an account of the basic facts con- cerning the functors R and Σ and to present a number of results about sobriety, including its reflectiveness and the relation between sobriety and completeness for uniform approach spaces. -
Generalized Enrichment of Categories
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Journal of Pure and Applied Algebra 168 (2002) 391–406 www.elsevier.com/locate/jpaa Generalized enrichment of categories Tom Leinster Department of Pure Mathematics and Mathematical Statistics, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WB, UK Received 1 December 1999; accepted 4 May 2001 Abstract We deÿne the phrase ‘category enriched in an fc-multicategory’ and explore some exam- ples. An fc-multicategory is a very general kind of two-dimensional structure, special cases of which are double categories, bicategories, monoidal categories and ordinary multicategories. Enrichment in an fc-multicategory extends the (more or less well-known) theories of enrichment in a monoidal category, in a bicategory, and in a multicategory. Moreover, fc-multicategories provide a natural setting for the bimodules construction, traditionally performed on suitably co- complete bicategories. Although this paper is elementary and self-contained, we also explain why, from one point of view, fc-multicategories are the natural structures in which to enrich categories. c 2001 Elsevier Science B.V. All rights reserved. MSC: 18D20; 18D05; 18D50; 18D10 A general question in category theory is: given some kind of categorical structure, what might it be enriched in? For instance, suppose we take braided monoidal cat- egories. Then the question asks: what kind of thing must V be if we are to speak sensibly of V-enriched braided monoidal categories? (The usual answer is that V must be a symmetricmonoidal category.) In another paper, [7], I have given an answer to the general question for a certain family of categorical structures (generalized multicategories). -
Approach Merotopological Spaces and Their Completion
Hindawi Publishing Corporation International Journal of Mathematics and Mathematical Sciences Volume 2010, Article ID 409804, 16 pages doi:10.1155/2010/409804 Research Article Approach Merotopological Spaces and their Completion Mona Khare and Surabhi Tiwari Department of Mathematics, University of Allahabad, Allahabad 211002, India Correspondence should be addressed to Mona Khare, [email protected] Received 24 July 2009; Accepted 13 April 2010 Academic Editor: Richard Wilson Copyright q 2010 M. Khare and S. Tiwari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper introduces the concept of an approach merotopological space and studies its category- theoretic properties. Various topological categories are shown to be embedded into the category whose objects are approach merotopological spaces. The order structure of the family of all approach merotopologies on a nonempty set is discussed. Employing the theory of bunches, bunch completion of an approach merotopological space is constructed. The present study is a unified look at the completion of metric spaces, approach spaces, nearness spaces, merotopological spaces, and approach merotopological spaces. 1. Introduction Some of the applications of nearness-like structures within topology are unification, extensions, homology, and connectedness. The categories of R0-topological spaces, uniform spaces 1, 2, proximity spaces 2, 3, and contiguity spaces 4, 5 are embedded into the category of nearness spaces. The study of proximity, contiguity, and merotopic spaces in the more generalized setting of L-fuzzy theory can be seen in 6–13.In14, the notion of an approach space was introduced via different equivalent set of axioms to measure the degree of nearness between a set and a point. -
On the Geometric Realization of Dendroidal Sets
Fabio Trova On the Geometric Realization of Dendroidal Sets Thesis advisor: Prof. Ieke Moerdijk Leiden University MASTER ALGANT University of Padova Et tu ouvriras parfois ta fenˆetre, comme ¸ca,pour le plaisir. Et tes amis seront bien ´etonn´esde te voir rire en regardant le ciel. Alors tu leur diras: “Oui, les ´etoiles,¸came fait toujours rire!” Et ils te croiront fou. Je t’aurai jou´eun bien vilain tour. A Irene, Lorenzo e Paolo a chi ha fatto della propria vita poesia a chi della poesia ha fatto la propria vita Contents Introduction vii Motivations and main contributions........................... vii 1 Category Theory1 1.1 Categories, functors, natural transformations...................1 1.2 Adjoint functors, limits, colimits..........................4 1.3 Monads........................................7 1.4 More on categories of functors............................ 10 1.5 Monoidal Categories................................. 13 2 Simplicial Sets 19 2.1 The Simplicial Category ∆ .............................. 19 2.2 The category SSet of Simplicial Sets........................ 21 2.3 Geometric Realization................................ 23 2.4 Classifying Spaces.................................. 28 3 Multicategory Theory 29 3.1 Trees.......................................... 29 3.2 Planar Multicategories................................ 31 3.3 Symmetric multicategories.............................. 34 3.4 (co)completeness of Multicat ............................. 37 3.5 Closed monoidal structure in Multicat ....................... 40 4 Dendroidal Sets 43 4.1 The dendroidal category Ω .............................. 43 4.1.1 Algebraic definition of Ω ........................... 44 4.1.2 Operadic definition of Ω ........................... 45 4.1.3 Equivalence of the definitions........................ 46 4.1.4 Faces and degeneracies............................ 48 4.2 The category dSet of Dendroidal Sets........................ 52 4.3 Nerve of a Multicategory............................... 55 4.4 Closed Monoidal structure on dSet ........................ -
Models of Classical Linear Logic Via Bifibrations of Polycategories
Models of Classical Linear Logic via Bifibrations of Polycategories N. Blanco and N. Zeilberger School of Computer Science University of Birmingham, UK SYCO5, September 2019 N. Blanco and N. Zeilberger ( School of ComputerModels Science of Classical University Linear of Logic Birmingham, via Bifibrations UK ) of PolycategoriesSYCO5, September 2019 1 / 27 Outline 1 Multicategories and Monoidal categories 2 Opfibration of Multicategories 3 Polycategories and Linearly Distributive Categories 4 Bifibration of polycategories N. Blanco and N. Zeilberger ( School of ComputerModels Science of Classical University Linear of Logic Birmingham, via Bifibrations UK ) of PolycategoriesSYCO5, September 2019 2 / 27 Multicategories and Monoidal categories Outline 1 Multicategories and Monoidal categories N. Blanco and N. Zeilberger ( School of ComputerModels Science of Classical University Linear of Logic Birmingham, via Bifibrations UK ) of PolycategoriesSYCO5, September 2019 3 / 27 Multicategories and Monoidal categories Tensor product of vector spaces In linear algebra: universal property C A; B A ⊗ B In category theory as a structure: a monoidal product ⊗ Universal property of tensor product needs many-to-one maps Category with many-to-one maps ) Multicategory N. Blanco and N. Zeilberger ( School of ComputerModels Science of Classical University Linear of Logic Birmingham, via Bifibrations UK ) of PolycategoriesSYCO5, September 2019 3 / 27 Multicategories and Monoidal categories Multicategory1 Definition A multicategory M has: A collection of objects Γ finite list of objects and A objects Set of multimorphisms M(Γ; A) Identities idA : A ! A f :Γ ! A g :Γ ; A; Γ ! B Composition: 1 2 g ◦i f :Γ1; Γ; Γ2 ! B With usual unitality and associativity and: interchange law: (g ◦ f1) ◦ f2 = (g ◦ f2) ◦ f1 where f1 and f2 are composed in two different inputs of g 1Tom Leinster. -
Tom Leinster
Theory and Applications of Categories, Vol. 12, No. 3, 2004, pp. 73–194. OPERADS IN HIGHER-DIMENSIONAL CATEGORY THEORY TOM LEINSTER ABSTRACT. The purpose of this paper is to set up a theory of generalized operads and multicategories and to use it as a language in which to propose a definition of weak n-category. Included is a full explanation of why the proposed definition of n- category is a reasonable one, and of what happens when n ≤ 2. Generalized operads and multicategories play other parts in higher-dimensional algebra too, some of which are outlined here: for instance, they can be used to simplify the opetopic approach to n-categories expounded by Baez, Dolan and others, and are a natural language in which to discuss enrichment of categorical structures. Contents Introduction 73 1 Bicategories 77 2 Operads and multicategories 88 3 More on operads and multicategories 107 4 A definition of weak ω-category 138 A Biased vs. unbiased bicategories 166 B The free multicategory construction 177 C Strict ω-categories 180 D Existence of initial operad-with-contraction 189 References 192 Introduction This paper concerns various aspects of higher-dimensional category theory, and in partic- ular n-categories and generalized operads. We start with a look at bicategories (Section 1). Having reviewed the basics of the classical definition, we define ‘unbiased bicategories’, in which n-fold composites of 1-cells are specified for all natural n (rather than the usual nullary and binary presentation). We go on to show that the theories of (classical) bicategories and of unbiased bicategories are equivalent, in a strong sense. -
Reinforced Multicategory Support Vector Machines
Supplementary materials for this article are available online. PleaseclicktheJCGSlinkathttp://pubs.amstat.org. Reinforced Multicategory Support Vector Machines Yufeng L IU and Ming YUAN Support vector machines are one of the most popular machine learning methods for classification. Despite its great success, the SVM was originally designed for binary classification. Extensions to the multicategory case are important for general classifica- tion problems. In this article, we propose a new class of multicategory hinge loss func- tions, namely reinforced hinge loss functions. Both theoretical and numerical properties of the reinforced multicategory SVMs (MSVMs) are explored. The results indicate that the proposed reinforced MSVMs (RMSVMs) give competitive and stable performance when compared with existing approaches. R implementation of the proposed methods is also available online as supplemental materials. Key Words: Fisher consistency; Multicategory classification; Regularization; SVM. 1. INTRODUCTION Classification is a very important statistical task for information extraction from data. Among numerous classification techniques, the Support Vector Machine (SVM) is one of the most well-known large-margin classifiers and has achieved great success in many ap- plications (Boser, Guyon, and Vapnik 1992; Cortes and Vapnik 1995). The basic concept behind the binary SVM is to find a separating hyperplane with maximum separation be- tween the two classes. Because of its flexibility in estimating the decision boundary using kernel learning as well as its ability in handling high-dimensional data, the SVM has be- come a very popular classifier and has been widely applied in many different fields. More details about the SVM can be found, for example, in the works of Cristianini and Shawe- Taylor (2000), Hastie, Tibshirani, and Friedman (2001), Schölkopf and Smola (2002). -
A New Approach to the Study of Extended Metric Spaces 1
Mathematica Aeterna, Vol. 3, 2013, no. 7, 565 - 577 A New Approach to the Study of Extended Metric Spaces Surabhi Tiwari Department of Mathematics Motilal Nehru National Institute of Technology Allahabad, U.P., India. Email: [email protected], [email protected] James F. Peters Computational Intelligence Laboratory Department of Electrical & Computer Engineering University of Manitoba Winnipeg, Manitoba R3T 51-V6, Canada. Email: [email protected] Abstract This paper studies the category theoretic aspects of ε-approach near- ness spaces and ε-approach merotopic spaces, respectively, ε ∈ (0, ∞], which are useful in measuring the degree of nearness (resemblance) of objects. Such structures measure the almost nearness of two collections of subsets of a nonempty set. The categories εANear and εAMer are shown to be full supercategories of various well-known categories, including the category sT op of symmetric topological spaces and con- tinuous maps, and the category Met∞ of extended metric spaces and nonexpansive maps. The results in this paper have important practical implications in the study of patterns in similar pictures. Mathematics Subject Classification: 54E05, 54E17, 54C25. Keywords: Approach merotopy, Nearness space, Topological space. 1 Introduction In [13], the two-argument ε-approach nearness was axiomatized for the pur- pose of presenting an alternative approach for completing extended metric spaces. This completion of extended metric spaces was motivated by the recent work on approach merotopic spaces in [7, 6, 4, 5, 16], (see also [2, 3]). In [15], 566 Surabhi Tiwari and James F. Peters ε-approach nearness was used to prove Niemytzki-Tychonoff theorem for sym- metric topological spaces. -
The Notion of Closedness and D-Connectedness in Quantale
THE NOTION OF CLOSEDNESS AND D-CONNECTEDNESS IN QUANTALE-VALUED APPROACH SPACES MUHAMMAD QASIM AND SAMED OZKAN¨ Abstract. In this paper, we characterize the local T0 and T1 separa- tion axioms for quantale-valued gauge space, show how these concepts are related to each other and apply them to L-approach space and L- approach system. Furthermore, we give the characterization of a closed point and D-connectedness in quantale-valued gauge space. Finally, we compare all these concepts with other. 1. Introduction Approach spaces have been introduced by Lowen [25, 26] to generalize metric and topological concepts, have many applications in almost all ar- eas of mathematics including probability theory [13], convergence theory [14], domain theory [15] and fixed point theory [16]. Due to its huge im- portance, several generalization of approach spaces appeared recently such as probabilistic approach spaces [18], quantale-valued gauge spaces [19], quantale-valued approach system [20] and quantale-valued approach w.r.t closure operators [24]. Recently, some quantale-valued approach spaces [21] are also characterized by using quantale-valued bounded interior spaces and bounded strong topological spaces which are commonly used by fuzzy math- ematicians. In 1991, Baran [2] introduced local separation axioms and notion of closed- ness in set-based topological categories which are used to define several dis- arXiv:1811.00767v1 [math.GN] 2 Nov 2018 tinct Hausdorff objects [4], T3 and T4 objects [6], regular, completely regular, normed objects [7], notion of compactness and minimality, perfectness [8] and closure operators in the sense of Guili and Dikranjan [17] in some well- known topological categories [9, 10]. -
The Missing Link in the Topology-Uniformity-Metric Triad
Previous Up Next Citations From References: 143 From Reviews: 18 MR1472024 (98f:54002) 54-02 18B30 54Bxx 54Cxx 54Exx Lowen, R. [Lowen, Robert] (B-ANTW) FApproach spaces. The missing link in the topology-uniformity-metric triad. Oxford Mathematical Monographs. Oxford Science Publications. The Clarendon Press, Oxford University Press, New York, 1997. x+253 pp. $110.00. ISBN 0-19-850030-0 FEATURED REVIEW. This book is a landmark in the history of general topology. The author developed approach spaces in a series of papers from 1987 onwards and the book contains the results from those papers, presented in a systematic and definitive manner. Approach spaces form a supercategory of the categories of topological spaces and metric spaces, and the main purpose for their introduction was to fill some gaps concerning categorical aspects of metrizable spaces (see below for details). They not only solved these fundamental problems but also turned out to be interesting objects of study for their own sake. Moreover, they are useful in many areas such as probability theory, functional analysis, function spaces, hyperspaces, and probabilistic metric spaces. They also provide a proper setting for a unified treatment of certain topological and metric properties in the theory of approximation. Let us discuss a motivation. Suppose (X; d) is a metric space and δd(x; A) is the distance between x 2 X and A ⊂ X defined by inffd(x; a): a 2 Ag. We say that x is near A if δd(x; A) = 0. About ninety years back, F. Riesz showed that the concept of a continuous function can be defined by using this nearness relation between points and subsets. -
Topological Games and Hyperspace Topologies
Set-Valued Analysis 6: 187–207, 1998. 187 © 1998 Kluwer Academic Publishers. Printed in the Netherlands. Topological Games and Hyperspace Topologies LÁSZLÓ ZSILINSZKY Department of Mathematics and Computer Science, University of North Carolina, Pembroke, NC 28372, U.S.A. e-mail: [email protected] (Received: 29 September 1997; in final form: 25 May 1998) Abstract. The paper proposes a unified description of hypertopologies, i.e. topologies on the non- empty closed subsets of a topological space, based on the notion of approach spaces introduced by R. Lowen. As a special case of this description we obtain the abstract hit-and-miss, proximal hit-and-miss and a big portion of weak hypertopologies generated by gap and excess functionals (including the Wijsman topology and the finite Hausdorff topology), respectively. We also give char- acterizations of separation axioms T0;T1;T2;T3 and complete regularity as well as of metrizability of hypertopologies in this general setting requiring no additional conditions. All this is done to provide a background for proving the main results in Section 4, where we apply topological games (the Banach–Mazur and the strong Choquet game, respectively) to establish various properties of hypertopologies; in particular we characterize Polishness of hypertopologies in this general setting. Mathematics Subject Classifications (1991): 54B20; 54A05, 54D10, 54D15, 54E35, 54E52, 90D44. Key words: approach spaces, (proximal) hit-and-miss topologies, weak hypertopologies, separation axioms, metrizability, Banach–Mazur game, strong Choquet game, (strongly) α-favorable spaces, Polish spaces. 0. Introduction There has been an impressive growth in the number of recently introduced topolo- gies on the hyperspace (i.e.