Despite being so vital to success of Support Vector Machines, the principle of separating margin maximisation is not used in deep learning. We show that minimisation of margin variance and not maximisation of the margin is more suitable for improving generalisation in deep architectures. We propose the Halfway loss function that minimises the Normalised Margin Variance (NMV) at the output of a ...

An unmet need exists in high-speed and highly-sensitive intraoperative assessment of breast cancer margin during conservation surgical procedures. Here, we demonstrate a multispectral photoacoustic tomography system for breast tumor margin assessment using fat and hemoglobin as contrasts. This system provides ~3 mm tissue depth and ~125 μm axial resolution. The results agreed with the histologi...

Large Relative Margin and Applications Pannagadatta K. Shivaswamy Over the last decade or so, machine learning algorithms such as support vector machines, boosting etc. have become extremely popular. The core idea in these and other related algorithms is the notion of large margin. Simply put, the idea is to geometrically separate two classes with a large separation between them; such a separat...

OBJECTIVE To evaluate the influence of surgical margin status on survival and site of recurrence in patients treated with hepatic resection for colorectal metastases. METHODS Using a multicenter database, 557 patients who underwent hepatic resection for colorectal metastases were identified. Demographics, operative data, pathologic margin status, site of recurrence (margin, other intrahepatic...

In a classification problem, hard margin SVMs tend to minimize the generalization error by maximizing the margin. Regularization is obtained with soft margin SVMs which improve performances by relaxing the constraints on the margin maximization. This article shows that comparable performances can be obtained in the linearly separable case with the Ho–Kashyap learning rule associated to early st...

In this paper, system operating margin (SOM) is estimated for vehicular ad-hoc networks in absence and presence of Rayleigh fading. The Ad-hoc IEEE 802.11 model is considered for estimating the signal strength and system operating margin. Rayleigh fading was then simulated and system operating margin are estimated in Rayleigh fading environment for different standard modulation schemes. Keyword...

The comparison between OCRA and the operating margin makes sense to decision maker. The operating margin (OM) shows them their ability to make and save more and more profit. The computation built in the study; help us to find the similar trend between efficiency from OCRA computation and Operating Margin from account statement. It resulted from the computation that the expected trend is obvious...