Saturating Splines and Feature Selection.

Nicholas Boyd, Trevor Hastie, Stephen Boyd, Benjamin Recht, Michael I Jordan

Abstract read

In one paragraph

Article in Journal of machine learning research : JMLR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nicholas BoydDepartment of Statistics, University of California, Berkeley, CA 94720-1776, USA, nickboyd@berkeley.edu.

Trevor HastieDepartment of Statistics, Stanford University, Stanford, CA 94305, USA, hastie@stanford.edu.

Stephen BoydDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA, boyd@stanford.edu.

Benjamin RechtDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720-1776, USA, brecht@berkeley.edu.

Michael I JordanDivision of Computer Science and Department of Statistics, University of California, Berkeley, CA 94720-1776, USA, jordan@cs.berkeley.edu.

Funding

New Statistical Methods for Medical Signals and ImagesR01EB001988 · NIBIB · STANFORD UNIVERSITY · PI JOHNSTONE, IAIN M · 2003 to 2018

$6.1M

NIBIB NIH HHS R01 EB001988

6 · The paper itself

Abstract

We extend the adaptive regression spline model by incorporating

Indexed as

Convex optimizationfeature selectionlassoregressionsplines

Identifiers

PMID31007630

PMCPMC6474379

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.