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In the supervised learning setting termed Multiple-Instance Learning (MIL), the examples are bags of instances, and the bag label is a function of the labels of its instances. Typically, this function is the Boolean OR. The learner observes…

机器学习 · 计算机科学 2015-03-19 Sivan Sabato , Naftali Tishby

In practice, histopathological diagnosis of tumor malignancy often requires a human expert to scan through histopathological images at multiple magnification levels, after which a final diagnosis can be accurately determined. However,…

计算机视觉与模式识别 · 计算机科学 2019-05-29 Qicheng Lao , Thomas Fevens

Label noise will degenerate the performance of deep learning algorithms because deep neural networks easily overfit label errors. Let X and Y denote the instance and clean label, respectively. When Y is a cause of X, according to which many…

机器学习 · 统计学 2022-06-06 Yu Yao , Tongliang Liu , Mingming Gong , Bo Han , Gang Niu , Kun Zhang

This paper presents a systematic evaluation of Neural Network (NN) for classification of real-world data. In the field of machine learning, it is often seen that a single parameter that is 'predictive accuracy' is being used for evaluating…

神经与进化计算 · 计算机科学 2016-12-05 Siddharth Dinesh , Tirtharaj Dash

To properly discover a charged Higgs Boson ($H^\pm$) requires its spin and couplings to be determined. We investigate how to utilize $\ttbar$ spin correlations to analyze the $H^\pm$ couplings in the decay $t\to bH^+\to b\tau^+\nu_\tau$.…

高能物理 - 唯象学 · 物理学 2008-11-26 David Eriksson , Gunnar Ingelman , Johan Rathsman , Oscar Stål

Accurately measuring the properties of the Higgs boson is one of the primary physics objectives of the high-energy frontier. By incorporating the inclusive information of all reconstructed particles to identify the signal events, referred…

高能物理 - 实验 · 物理学 2026-03-10 Jianfeng Jiang , Yongfeng Zhu , Chao Yang , Manqi Ruan

Classification tasks in machine learning involving more than two classes are known by the name of "multi-class classification". Performance indicators are very useful when the aim is to evaluate and compare different classification models…

机器学习 · 统计学 2020-08-14 Margherita Grandini , Enrico Bagli , Giorgio Visani

The CP structure of the Higgs sector will be of great interest to future colliders. The measurement of the CP properties of candidate Higgs particles will be essential in order to distinguish models of electroweak symmetry breaking, and to…

高能物理 - 唯象学 · 物理学 2007-05-23 R. M. Godbole , S. Kraml , M. Krawczyk , D. J. Miller , P. Niezurawski , A. F. Zarnecki

The most commonly used parameterizations of the Yukawa couplings in the two Higgs doublet model are revisited. Their similitudes and differences are emphasized and relations between the different notations used in the literature are…

高能物理 - 唯象学 · 物理学 2015-06-05 H. Cardenas , D. Restrepo , J. -Alexis Rodriguez

We investigate the decay modes of a CP-even scalar boson $\phi$ that mixes with the Standard Model Higgs boson, focusing on the mass range between 2 GeV and $2 m_\tau$. Starting from a higher-order perturbative calculation of the inclusive…

高能物理 - 唯象学 · 物理学 2025-10-22 Stefan Gieseke , Felix Kahlhoefer , Henry Seebach

Machine Learning has become very famous currently which assist in identifying the patterns from the raw data. Technological advancement has led to substantial improvement in Machine Learning which, thus helping to improve prediction.…

机器学习 · 计算机科学 2018-10-11 Prayag Tiwari , Massimo Melucci

For models consisting of a classifier in some representation space, learning online from a non-stationary data stream often necessitates changes in the representation. So, the question arises of what is the best way to adapt the classifier…

机器学习 · 计算机科学 2024-05-08 Thomas L. Lee , Amos Storkey

The principle of multiple point criticality (PMPC), which allowed the prediction of the Higgs boson mass before its discovery, has so far been applied to radiatively generated vacua. If this principle is fundamental, following from some…

高能物理 - 唯象学 · 物理学 2021-06-30 Kristjan Kannike , Niko Koivunen , Martti Raidal

After the discovery of a Higgs boson, the next step is to measure its properties and test their accordance with the predictions of the Standard Model, in particular the couplings of the Higgs boson. In this talk we discuss what information…

高能物理 - 唯象学 · 物理学 2012-04-02 Michael Rauch

We calculate decays of a Standard Model Higgs boson to a virtual massive particle and discuss how this depends on the massive particle total width. If the partial width of Higgs to a virtual massive particle can be measured this gives a…

高能物理 - 唯象学 · 物理学 2009-10-28 D. J. Summers

The production of a Higgs boson in association with a single top quark is one of a few channels which are sensitive for not yet excluded anomalous couplings of the Higgs boson to fermions. Multivariate analysis tools are used for the…

高能物理 - 实验 · 物理学 2015-03-19 Simon Fink

The large hadron collider precision measurement of $h_{125}$ properties suggests that a misaligned two Higgs doublet model type 1 is preferred among other types of the model. In this analysis, a lepton collider potential for charged Higgs…

高能物理 - 唯象学 · 物理学 2025-08-22 Majid Hashemi , Omid Seify

The $A\to Z^{(*)}h$ decay signature has been highlighted as possibly being the first testable probe of the Standard Model (SM) Higgs boson discovered in 2012 ($h$) interacting with Higgs companion states, such as those existing in a 2-Higgs…

高能物理 - 唯象学 · 物理学 2023-10-26 W. Esmail , A. Hammad , S. Moretti

Deep models trained with noisy labels are prone to over-fitting and struggle in generalization. Most existing solutions are based on an ideal assumption that the label noise is class-conditional, i.e., instances of the same class share the…

计算机视觉与模式识别 · 计算机科学 2022-08-01 Ganlong Zhao , Guanbin Li , Yipeng Qin , Feng Liu , Yizhou Yu

Results on the $H\to\tau\tau$ measurements performed by the ATLAS and CMS collaborations with the pp collision data collected at the LHC at $\sqrt{s}=$7 and 8 TeV are presented. These include a test of CP invariance in the VBF Higgs boson…

高能物理 - 实验 · 物理学 2017-04-04 Daniele Zanzi