نتایج جستجو برای: رگرسیون ریج ridge regression

تعداد نتایج: 366889  

2014
Evgeny Burnaev Vladimir Vovk

Conformal prediction is a method of producing prediction sets that can be applied on top of a wide range of prediction algorithms. The method has a guaranteed coverage probability under the standard IID assumption regardless of whether the assumptions (often considerably more restrictive) of the underlying algorithm are satisfied. However, for the method to be really useful it is desirable that...

Journal: :Adv. Data Analysis and Classification 2010
Hye Won Suk Heungsun Hwang

Fuzzy clusterwise regression has been a useful method for investigating cluster-level heterogeneity of observations based on linear regression. This method integrates fuzzy clustering and ordinary least-squares regression, thereby enabling to estimate regression coefficients for each cluster and fuzzy cluster memberships of observations simultaneously. In practice, however, fuzzy clusterwise re...

2013
Erika Cule Maria De Iorio

To date, numerous genetic variants have been identified as associated with diverse phenotypic traits. However, identified associations generally explain only a small proportion of trait heritability and the predictive power of models incorporating only known-associated variants has been small. Multiple regression is a popular framework in which to consider the joint effect of many genetic varia...

Journal: :J. Inf. Sci. Eng. 2010
Rui Lu De Xu Bing Li

Although there exist a number of single color constancy algorithms, none of them can be considered universal. Consequently, how to select and combine existing single algorithms are two important research directions in the field of color constancy. In this paper we use ridge regression, a simple yet effective machine learning approach, to select and combine existing color constancy algorithms. T...

2012
Luke Segars

De-duplication Matlab's unique function was used for de-duplicating reviews – each row that appeared more than once was reduced to a single occurrence. This technique can produce some false positives in the case that the same word frequencies occurred in legitimately distinct reviews (since the order of the tokens is not considered), but the chances of this occurring was considered improbable e...

Journal: :CoRR 2016
Rashish Tandon Si Si Pradeep Ravikumar Inderjit S. Dhillon

In this paper, we investigate a divide and conquer approach to Kernel Ridge Regression (KRR). Given n samples, the division step involves separating the points based on some underlying disjoint partition of the input space (possibly via clustering), and then computing a KRR estimate for each partition. The conquering step is simple: for each partition, we only consider its own local estimate fo...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی شاهرود - دانشکده علوم ریاضی 1393

هنگامی که همخطی بین ستون های ماتریس طرح در رگرسیون خطی وجود دارد، استفاده از روش کمترین توان های دوم در برآورد ضرایب مدل، معمولاً باعث می شود که برآوردهای خیلی ضعیفی به دست آید. ثابت شده است که واریانس برآوردگرهای کمترین توان های دوم ضرایب رگرسیون ممکن است در حد قابل توجهی افزایش یابند و طول بردار برآورد کمترین توان های دوم پارامتر به طور متوسط خیلی زیاد می شود. در این راستا، یکی از راه های رفع ...

2009
D. R. Jensen D. E. Ramirez

Ridge regression is often the method of choice in ill–conditioned systems. A canonical form identifies regions in the parameter space where Ordinary Least Squares (OLS) is problematic. A curious but unrecognized property of ridge solutions emerges: Under spherical errors with or without moments, the relative concentrations of the canonical estimators reverse as the ridge scalar evolves, the est...

Journal: :Foundations of Computational Mathematics 2014

Journal: :SSRN Electronic Journal 2011

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