Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression
نویسندگان
چکیده
منابع مشابه
the search for the self in becketts theatre: waiting for godot and endgame
this thesis is based upon the works of samuel beckett. one of the greatest writers of contemporary literature. here, i have tried to focus on one of the main themes in becketts works: the search for the real "me" or the real self, which is not only a problem to be solved for beckett man but also for each of us. i have tried to show becketts techniques in approaching this unattainable goal, base...
15 صفحه اولFast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets
Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...
متن کاملتععین پارامتر های ترانسفورماتور به منظور تشخیص خطا transformer parameter determination for the purpose of failure diagnosis
چکیده ترانسفورماتورهای قدرت ادوات گران قیمتی هستنند که نقش بسیار مهمی را در سیستم های قدرت ایفا می کنند. در سالهای اخیر روشهای مختلفی جهت تشخیص خطا و مونیتورینگ ترانسفورماتورها ارائه شده است. در این پایان نامه برخی از این روشها جهت تعیین پارامتر های ترانسفورماتور در شرایط سالم و خطاهای مختلف در محدوده ی وسیعی از فرکانس بررسی شده است. همچنین با استفاده از روش اجزای محدود و محاسبات بر پایه فرمو...
15 صفحه اولRegularization Parameter Selection for Faulty Neural Networks
Regularization techniques have attracted many researches in the past decades. Most focus on designing the regularization term, and few on the optimal regularization parameter selection, especially for faulty neural networks. As is known that in the real world, the node faults often inevitably take place, which would lead to many faulty network patterns. If employing the conventional method, i.e...
متن کاملRegularization parameter selection in indirect regression by residual based bootstrap
Residual-based analysis is generally considered a cornerstone of statistical methodology. For a special case of indirect regression, we investigate the residual-based empirical distribution function and provide a uniform expansion of this estimator, which is also shown to be asymptotically most precise. This investigation naturally leads to a completely data-driven technique for selecting a reg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neural Processing Letters
سال: 2013
ISSN: 1370-4621,1573-773X
DOI: 10.1007/s11063-013-9279-8