作者: 歡樂中國 時(shí)間: 2025-3-22 00:15 作者: 虛構(gòu)的東西 時(shí)間: 2025-3-22 00:50
978-3-642-01804-6Springer-Verlag Berlin Heidelberg 2009作者: 通情達(dá)理 時(shí)間: 2025-3-22 07:12 作者: 接觸 時(shí)間: 2025-3-22 10:49 作者: 夸張 時(shí)間: 2025-3-22 13:51
Visualization of Structured Data via Generative Probabilistic Modelingrnative local noise models implicitly expressing different notions of structured data similarity. Additionally, using information geometry one can calculate magnification factors on the constructed topographic maps. Magnification factors are a useful tool for cluster detection in non-linear topograp作者: DIKE 時(shí)間: 2025-3-22 19:38
Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Imagesle images. The other uses an iterative procedure to find an optimal decision criterion that equalizes the number of misclassifications of alive and dead cells. It provides an estimation of the fraction of alive cells that is within 8% of its actual value for 95% of the samples.作者: foodstuff 時(shí)間: 2025-3-23 01:01
HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classrecords have response information as well as genotypic data. This leads to two specific challenges (a) semi-supervised learning – a setting where many samples are available but only a small proportion of them are labeled and (b) missing data..We review a novel solution for the first setting: a novel作者: anatomical 時(shí)間: 2025-3-23 03:13 作者: outrage 時(shí)間: 2025-3-23 07:54 作者: 慢慢流出 時(shí)間: 2025-3-23 13:46 作者: Instantaneous 時(shí)間: 2025-3-23 15:28
Thomas Villmann,Barbara Hammer,Michael Biehlsets of non-standard boundary conditions (but, unfortunately, not for the velocity boundary condition), locally conservative LSFEMs for the Stokes equations, a feat that is very difficult, if not impossible, to accomplish in the ADN setting. LSFEMs in the vector-operator setting for the Stokes syste作者: induct 時(shí)間: 2025-3-23 18:04 作者: 谷類 時(shí)間: 2025-3-24 00:22
Michel Verleysen,Fabrice Rossi,Damien Fran?oislty, and augmented Lagrangian variational formulations are members of this class. Although they are not within the focus of this book, in Section 2.1, we provide a concise summary of the corresponding finite element methods. There are several reasons for doing so. First, such formulations lead to im作者: 博識(shí) 時(shí)間: 2025-3-24 04:48 作者: 蛤肉 時(shí)間: 2025-3-24 07:44 作者: 植物學(xué) 時(shí)間: 2025-3-24 12:00
Nikolaos Gianniotis,Peter Tiňolty, and augmented Lagrangian variational formulations are members of this class. Although they are not within the focus of this book, in Section 2.1, we provide a concise summary of the corresponding finite element methods. There are several reasons for doing so. First, such formulations lead to im作者: 完成 時(shí)間: 2025-3-24 15:31 作者: 違法事實(shí) 時(shí)間: 2025-3-24 21:25 作者: 哄騙 時(shí)間: 2025-3-25 00:10 作者: 盡管 時(shí)間: 2025-3-25 04:41
ocesses of these individuals, as informed by the information they had at their disposal. The story does not pretend to depict any individual’s actual conduct but is drawn from an in-depth quantitative and geographic analysis of the effects of their decisions over the past two years. The reconstructi作者: 小爭(zhēng)吵 時(shí)間: 2025-3-25 09:18 作者: 單純 時(shí)間: 2025-3-25 12:44
Book 2009s. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medica作者: 1分開 時(shí)間: 2025-3-25 18:27 作者: 聾子 時(shí)間: 2025-3-25 20:19 作者: SPALL 時(shí)間: 2025-3-26 01:32
Statistical Mechanics of On-line Learningthematical description of the training dynamics in model scenarios. We present the basic concepts and results of the approach in terms of several examples, including the learning of linear separable rules, the training of multilayer neural networks, and Learning Vector Quantization.作者: Orchiectomy 時(shí)間: 2025-3-26 08:23
Some Theoretical Aspects of the Neural Gas Vector Quantizerter is not equivalent to an inverse temperature like in the deterministic annealing vector quantizer introduced by K. Rose et al. Instead, an annealed variant of neural gas can be obtained using the formalism proposed by T. Heskes for self-organizing maps.作者: 處理 時(shí)間: 2025-3-26 11:55 作者: Morbid 時(shí)間: 2025-3-26 14:20 作者: GENRE 時(shí)間: 2025-3-26 19:06 作者: garrulous 時(shí)間: 2025-3-26 21:32 作者: 條約 時(shí)間: 2025-3-27 03:44 作者: liaison 時(shí)間: 2025-3-27 08:39
Advances in Feature Selection with Mutual Informationnal data. Selecting features helps fighting the curse of dimensionality, improving the performances of prediction or classification methods, and interpreting the application. In a nonlinear context, the mutual information is widely used as relevance criterion for features and sets of features. Never作者: Eulogy 時(shí)間: 2025-3-27 10:15 作者: GRUEL 時(shí)間: 2025-3-27 17:02
Median Topographic Maps for Biomedical Data Setssimilarity matrix only. This offers flexible and robust global data inspection methods which are particularly suited for a variety of data as occurs in biomedical domains. In this chapter, we give an overview about median clustering and its properties and extensions, with a particular focus on effic作者: Consequence 時(shí)間: 2025-3-27 20:03 作者: LINES 時(shí)間: 2025-3-28 01:55
Learning Highly Structured Manifolds: Harnessing the Power of SOMsatistics. We call such data manifolds .. We describe approaches to structure identification through self-organized learning, in the context of such data. We present some of our recently developed methods to show that self-organizing neural maps contain a great deal of information that can be unleash作者: 遺產(chǎn) 時(shí)間: 2025-3-28 05:19
Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Imagesd, preprocessed and segmented in order to obtain images of single sperm heads. A model of intracellular density distribution characteristic of alive cells is computed by averaging a set of images of cells assumed to be alive by veterinarian experts. We quantify the deviation of the distribution of a作者: Interregnum 時(shí)間: 2025-3-28 10:19 作者: 舔食 時(shí)間: 2025-3-28 12:48 作者: 后退 時(shí)間: 2025-3-28 16:38
n verbunden sein kann, deren Relevanz in hohem Ma?e von der Konstellation unterschiedlicher Situationsmerkmale abh?ngt. Grundsatzentscheidungen hinsichtlich der Umsetzung des LCP-Ansatzes lassen sich jedoch nicht allein vor dem Hintergrund der Rahmenbedingungen treffen. Eine zentrale Entscheidungsde作者: 留戀 時(shí)間: 2025-3-28 22:44 作者: 狂亂 時(shí)間: 2025-3-29 01:03
Thomas Villmann,Barbara Hammer,Michael Biehlector-operator settings, already encountered in Chapters 5 and 6, are used here as well. For CLSPs defined in the ADN setting, transition to DLSPs relies on the abstract least-squares theory for ADN systems formulated in Chapter 4. Accordingly, error analysis of the resulting LSFEMs is simply a matt
