Results 201 to 210 of about 25,321,415 (248)

Scalable Visualization Methods for Modern Generalized Additive Models

Journal of Computational And Graphical Statistics, 2018
In the last two decades, the growth of computational resources has made it possible to handle generalized additive models (GAMs) that formerly were too costly for serious applications.
M. Fasiolo, Raphael Nedellec, Y. Goude, S. Wood   +3 more
semanticscholar   +1 more source

Extreme Compression of Large Language Models via Additive Quantization

International Conference on Machine Learning
The emergence of accurate open large language models (LLMs) has led to a race towards performant quantization techniques which can enable their execution on end-user devices.
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh   +5 more
semanticscholar   +1 more source

Additive models: Extensions and related models [PDF]

, 2012
We give an overview over smooth back tting type estimators in additive models. Moreover we illustrate their wide applicability in models closely related to additive models such as nonparametric regression with dependent error variables where the errors can be transformed to white noise by a linear transformation, nonparametric regression with ...
Mammen, Enno, Park, Byeong U., Schienle, Melanie   +2 more
openaire   +3 more sources

Fitting jump additive models

Computational Statistics & Data Analysis, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang   +4 more
openaire   +1 more source

On the Complexity of Additive Clustering Models

Journal of Mathematical Psychology, 2001
Additive clustering provides a conceptually simple and potentially powerful approach to modeling the similarity relationships between stimuli. The ability of additive clustering models to accommodate similarity data, however, typically arises through the incorporation of large numbers of parameterized clusters.
openaire   +3 more sources

Modeling the additivity of nonsimultaneous masking

Hearing Research, 1994
Thresholds were measured for detecting a brief 6-kHz sinusoidal signal preceded by a broadband noise masker (forward masking), followed by the masker (backward masking), or both preceded by and followed by the masker (combined masking). The masker-signal interval was systematically varied.
A J, Oxenham, B C, Moore
openaire   +2 more sources

SpAM: Sparse Additive Models

2018
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse linear modeling and additive nonparametric regression. We derive a method for fitting the models that is effective even when the number of covariates is larger than the sample size.
Pradeep Ravikumar, Han Liu 0001, John D. Lafferty, Larry A. Wasserman   +3 more
openaire   +2 more sources

Additive Hazard Regression Models

1997
In the last two chapters, we examined regression models for survival data based on a proportional hazards model. In this model, the effect of the covariates was to act multiplicatively on some unknown baseline hazard rate. Covariates which do not act on the baseline hazard rate in this fashion were modeled either by the inclusion of a time-dependent ...
John P. Klein, Melvin L. Moeschberger
openaire   +1 more source

Additive and generalized additive models: A survey [PDF]

, 1998
This paper is the attempt to summarize the state of art in additive and generalized additive models (GAM). The emphasis is on approaches and numerical procedures which have emerged since the monograph of Hastie and Tibshirani (1990) although reconsidering certain aspects of their work.
Schimek, Michael G., Turlach, Berwin A.
openaire   +1 more source

Generalized Additive Models: An Introduction With R

Technometrics, 2007
A. Chiang
semanticscholar   +1 more source