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Feature Engineering for Predictive Modeling using Reinforcement Learning

Feature Engineering for Predictive Modeling using Reinforcement Learning

21 September 2017
Udayan Khurana
Horst Samulowitz
D. Turaga
ArXivPDFHTML

Papers citing "Feature Engineering for Predictive Modeling using Reinforcement Learning"

15 / 65 papers shown
Title
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular
  Data
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
Zhaocheng Liu
Qiang Liu
Haoli Zhang
Yuntian Chen
11
12
0
22 Aug 2020
Knowledge-Based Learning through Feature Generation
Knowledge-Based Learning through Feature Generation
Michal Badian
Shaul Markovitch
6
0
0
06 Jun 2020
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a
  Brief Survey
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey
Andrea Borghesi
Federico Baldo
M. Milano
AI4CE
14
35
0
19 May 2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial
  Tasks
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Qitao Shi
Ya-Lin Zhang
Longfei Li
Xinxing Yang
Meng Li
Jun Zhou
26
30
0
05 Mar 2020
Injective Domain Knowledge in Neural Networks for Transprecision
  Computing
Injective Domain Knowledge in Neural Networks for Transprecision Computing
Andrea Borghesi
Federico Baldo
M. Lombardi
M. Milano
9
5
0
24 Feb 2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in
  Automated Machine Learning Systems
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
Jaimie Drozdal
Justin D. Weisz
Dakuo Wang
Gaurav Dass
Bingsheng Yao
Changruo Zhao
Michael J. Muller
Lin Ju
Hui Su
36
124
0
17 Jan 2020
Consistent Feature Construction with Constrained Genetic Programming for
  Experimental Physics
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
Noëlie Cherrier
Jean-Philippe Poli
Maxime Defurne
F. Sabatié
AI4CE
11
13
0
17 Aug 2019
Evolutionary Computation, Optimization and Learning Algorithms for Data
  Science
Evolutionary Computation, Optimization and Learning Algorithms for Data Science
F. Mohammadi
M. Amini
H. Arabnia
12
26
0
16 Aug 2019
Techniques for Automated Machine Learning
Techniques for Automated Machine Learning
Yi-Wei Chen
Qingquan Song
Xia Hu
6
47
0
21 Jul 2019
MLFriend: Interactive Prediction Task Recommendation for Event-Driven
  Time-Series Data
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Lei Xu
Shubhra (Santu) Karmaker
K. Veeramachaneni
AI4TS
8
4
0
28 Jun 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and
  Challenges
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore
R. Calinescu
Colin Paterson
AI4TS
21
116
0
10 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks
Benchmark and Survey of Automated Machine Learning Frameworks
Marc Zoller
Marco F. Huber
25
86
0
26 Apr 2019
Automating Predictive Modeling Process using Reinforcement Learning
Automating Predictive Modeling Process using Reinforcement Learning
Udayan Khurana
Horst Samulowitz
OffRL
9
4
0
02 Mar 2019
The autofeat Python Library for Automated Feature Engineering and
  Selection
The autofeat Python Library for Automated Feature Engineering and Selection
F. Horn
R. Pack
M. Rieger
4
92
0
22 Jan 2019
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine
  Learning
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning
Fei Qi
Z. Xia
Gaoyang Tang
Hang Yang
Yu Song
Guangrui Qian
Xiong An
Chunhuan Lin
Guangming Shi
AI4CE
17
5
0
20 Nov 2018
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