Results 11 to 20 of about 1,603 (207)
A Dual Active-Set Algorithm for Regularized Monotonic Regression [PDF]
, 2017 Monotonic (isotonic) regression is a powerful tool used for solving a wide range of important applied problems. One of its features, which poses a limitation on its use in some areas, is that it produces a piecewise constant fitted response.
Oleg Burdakov, Oleg Sysoev
core +1 more source
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment [PDF]
, 2020 Mounting privacy legislation calls for the preservation of privacy in speech technology, though solutions are gravely lacking. While evaluation campaigns are long-proven tools to drive progress, the need to consider a privacy adversary implies that ...
Bonastre, Jean-Francois +7 more
core +2 more sources
A Path Algorithm for Constrained Estimation [PDF]
, 2011 Many least squares problems involve affine equality and inequality constraints. Although there are variety of methods for solving such problems, most statisticians find constrained estimation challenging.
Brunk H. D. +36 more
core +1 more source
Extension of CART using multiple splits under order restrictions [PDF]
, 2003 CART was introduced by Breiman et al. (1984) as a classification tool. It divides the whole sample recursively in two subpopulations by finding the best possible split with respect to a optimisation criterion.
Salanti, G., Strobl, R., Ulm, Kurt
core +2 more sources
An Ordered Lasso and Sparse Time-Lagged Regression
, 2014 We consider regression scenarios where it is natural to impose an order constraint on the coefficients. We propose an order-constrained version of L1-regularized regression for this problem, and show how to solve it efficiently using the well-known Pool ...
Suo, Xiaotong, Tibshirani, Robert
core +2 more sources
SLOPE - Adaptive variable selection via convex optimization [PDF]
, 2015 We introduce a new estimator for the vector of coefficients $\beta$ in the linear model $y=X\beta+z$, where $X$ has dimensions $n\times p$ with $p$ possibly larger than $n$. SLOPE, short for Sorted L-One Penalized Estimation, is the solution to \[\min_{b\
Berg, Ewout van den +4 more
core +3 more sources
A review of calibration methods for biometric systems in forensic applications [PDF]
, 2012 When, in a criminal case there are traces from a crime scene - e.g., finger marks or facial recordings from a surveillance camera - as well as a suspect, the judge has to accept either the hypothesis \emph{$H_{p}$} of the prosecution, stating that the ...
Ali, Tauseef +2 more
core +6 more sources
How to project onto the monotone nonnegative cone using Pool Adjacent Violators type algorithms
, 2012 The metric projection onto an order nonnegative cone from the metric projection onto the corresponding order cone is derived. Particularly, we can use Pool Adjacent Violators-type algorithms developed for projecting onto the monotone cone for projecting onto the monotone nonnegative cone too.
Németh, A. B., Németh, S. Z.
openaire +2 more sources
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models
, 2015 Learning accurate probabilistic models from data is crucial in many practical tasks in data mining. In this paper we present a new non-parametric calibration method called \textit{ensemble of near isotonic regression} (ENIR). The method can be considered
Cooper, Gregory F. +1 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou +4 more
wiley +1 more source