In this paper, we show that the popular C-SVM, soft-margin support vector classifier is equivalent to minimization of Buffered Probability of Exceedance (bPOE) by introducing a new SVM formulation, called the EC-SVM, which is derived as a bPOE minimization problem. Since it is derived from a simple bPOE minimization problem, the EC-SVM is simple to interpret with a meaningful free parameter, op...

در این پژوهش مسئله زمان‌بندی کار کارگاهی منعطف با ماشین‌های موازی درنظرگرفتن معیار تولید پاک‌تر، منابع دوگانه انسان-ماشین، زمان دسترسی کارها و پردازش وابسته به سرعت ماشین‌ها بررسی می­‌شود. اهداف شامل حداقل­‌کردن مجموع جریمه‌­های دیرکرد زودکرد افزایش است. داده می‌شود تا تکمیل کاهش یابد. درحالی‌که آلودگی صوتی محیط تولیدی منجر توجه رویکرد پاک‌تر که نگرشی پیشگیرانه است، اینجا سعی شده است حداقل­کردن...

in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

Learning ranking (or preference) functions has become an important data mining task in recent years, as various applications have been found in information retrieval. Among rank learning methods, ranking SVM has been favorably applied to various applications, e.g., optimizing search engines, improving data retrieval quality. In this paper, we first develop a 1-norm ranking SVM that is faster in...

Assume a teacher provides examples one by one. An approximate incremental SVM computes a sequence of classi ers that are close to the true SVM solutions computed on the successive incremental training sets. We show that simple algorithms can satisfy an averaged accuracy criterion with a computational cost that scales as well as the best SVM algorithms with the number of examples. Finally, we ex...

This paper presents a study of employing Ranking SVM and Convolutional Neural Network for two missions: legal information retrieval and question answering in the Competition on Legal Information Extraction/Entailment. For the first task, our proposed model used a triple of features (LSI, Manhattan, Jaccard), and is based on paragraph level instead of article level as in previous studies. In fac...

This paper describes the ITNLP system participated in the Knowledge Base Population (KBP) track English Entity Linking task. Our Entity linking system is composed of three parts: candidate generation, candidate ranking and nil clustering. In the candidate generation process, the redirect pages and anchor texts in Wikipedia are utilized to generate candidate entities for the mentions. Ranking SV...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...