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Adaptive Classification for Prediction Under a Budget

Adaptive Classification for Prediction Under a Budget

26 May 2017
Feng Nan
Venkatesh Saligrama
ArXivPDFHTML

Papers citing "Adaptive Classification for Prediction Under a Budget"

6 / 6 papers shown
Title
Learning to Abstain From Uninformative Data
Learning to Abstain From Uninformative Data
Yikai Zhang
Songzhu Zheng
M. Dalirrooyfard
Pengxiang Wu
Anderson Schneider
Anant Raj
Yuriy Nevmyvaka
Chao Chen
26
2
0
25 Sep 2023
Fast Classification with Sequential Feature Selection in Test Phase
Fast Classification with Sequential Feature Selection in Test Phase
A. Mirzaei
V. Pourahmadi
H. Sheikhzadeh
Alireza Abdollahpourrostam
13
0
0
25 Jun 2023
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative
  Architecture for DNN Inference
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Min Li
Yu Li
Ye Tian
Li Jiang
Qiang Xu
41
33
0
10 May 2021
Generalizing Gain Penalization for Feature Selection in Tree-based
  Models
Generalizing Gain Penalization for Feature Selection in Tree-based Models
Bruna D. Wundervald
Andrew C. Parnell
Katarina Domijan
22
6
0
12 Jun 2020
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data
  Streams
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
Mohammad Kachuee
Orpaz Goldstein
Kimmo Karkkainen
Sajad Darabi
Majid Sarrafzadeh
OOD
31
31
0
02 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
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