Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Rifkin, Ryan"'
Autor:
Lippert, Ross, Rifkin, Ryan
We consider regularized least-squares (RLS) with a Gaussian kernel. Weprove that if we let the Gaussian bandwidth $\sigma \rightarrow\infty$ while letting the regularization parameter $\lambda\rightarrow 0$, the RLS solution tends to a polynomial who
Externí odkaz:
http://hdl.handle.net/1721.1/30577
Solutions of learning problems by Empirical Risk Minimization (ERM) need to be consistent, so that they may be predictive. They also need to be well-posed, so that they can be used robustly. We show that a statistical form of well-posedness, defined
Externí odkaz:
http://hdl.handle.net/1721.3/5507
Intuitively, we expect that averaging --- or bagging --- different regressors with low correlation should smooth their behavior and be somewhat similar to regularization. In this note we make this intuition precise. Using an almost classical defini
Externí odkaz:
http://hdl.handle.net/1721.1/7268
Autor:
Rifkin, Ryan Michael, 1972
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.
Includes bibliographical references (leaves 213-225).
This thesis shows that several old, somewhat discredited machine learning techniques are still v
Includes bibliographical references (leaves 213-225).
This thesis shows that several old, somewhat discredited machine learning techniques are still v
Externí odkaz:
http://hdl.handle.net/1721.1/17549
Autor:
Rennie, Jason D. M., Rifkin, Ryan
We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full mult
Externí odkaz:
http://hdl.handle.net/1721.1/7241
We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these similar listeners enjoy. Th
Externí odkaz:
http://hdl.handle.net/1721.1/7234
Autor:
Alvira, Mariano, Rifkin, Ryan
Impressive claims have been made for the performance of the SNoW algorithm on face detection tasks by Yang et. al. [7]. In particular, by looking at both their results and those of Heisele et. al. [3], one could infer that the SNoW system performed s
Externí odkaz:
http://hdl.handle.net/1721.1/7219
When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM training problems with dual optimal
Externí odkaz:
http://hdl.handle.net/1721.1/7291
We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equivalent for a certain choice of the parameters. In p
Externí odkaz:
http://hdl.handle.net/1721.1/7258
Publikováno v:
Operations Research, 2003 Jan 01. 51(1), 167-171.
Externí odkaz:
https://www.jstor.org/stable/3088559
