Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Foster Provost"'
Autor:
Foster Provost
Publikováno v:
International Journal of Forecasting. 39:561-565
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ec74f79917d99e6f6a1de6a13bc5bf9
https://doi.org/10.1016/j.ijforecast.2022.10.001
https://doi.org/10.1016/j.ijforecast.2022.10.001
Publikováno v:
Information Systems Research.
This work addresses the problem of “user disambiguation”—estimating the likelihood of each member of a small group using a shared account or device. The specific focus is on television set-top box (STB) viewership data in multiperson households
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a8ae719152815b80df01ff14f32b20
https://doi.org/10.1287/isre.2023.1204
https://doi.org/10.1287/isre.2023.1204
Autor:
Carlos Fernández-Loría, Foster Provost
Publikováno v:
INFORMS Journal on Data Science. 1:4-16
Causal decision making (CDM) at scale has become a routine part of business, and increasingly, CDM is based on statistical models and machine learning algorithms. Businesses algorithmically target offers, incentives, and recommendations to affect con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d34baeea5109deef6b0c570c004d70
https://doi.org/10.1287/ijds.2021.0006
https://doi.org/10.1287/ijds.2021.0006
Autor:
Carlos Fernández-Loría, Foster Provost
Publikováno v:
INFORMS Journal on Data Science. 1:23-26
We thank Dean Eckles, Edward McFowland III, and Uri Shalit for their valuable commentaries ( Eckles 2022 , McFowland 2022 , Shalit 2022 ). This note takes a closer look at several of the main points they raised, especially those related to future res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4496798d0804e96fd5a049b079919d6f
https://doi.org/10.1287/ijds.2022.0013
https://doi.org/10.1287/ijds.2022.0013
Publikováno v:
Information Systems Research.
This study presents a systematic comparison of methods for individual treatment assignment, a general problem that arises in many applications and has received significant attention from economists, computer scientists, and social scientists. We grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd4569d1dc42b9cfcc0179e08b1fee34
https://doi.org/10.1287/isre.2022.1149
https://doi.org/10.1287/isre.2022.1149
Autor:
Foster Provost
Publikováno v:
Machine Learning. 109:1987-1992
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8b59bc20f851c96f98185b94d0b9d3
https://doi.org/10.1007/s10994-020-05909-0
https://doi.org/10.1007/s10994-020-05909-0
Publikováno v:
Advances in data analysis and classification
Predictive systems based on high-dimensional behavioral and textual data have serious comprehensibility and transparency issues: linear models require investigating thousands of coefficients, while the opaqueness of nonlinear models makes things wors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::056b255cd677f3f984730a0d77f01457
https://doi.org/10.1007/s11634-020-00418-3
https://doi.org/10.1007/s11634-020-00418-3
Autor:
Foster Provost, Jessica Clark
Publikováno v:
Data Mining and Knowledge Discovery. 33:871-916
Unsupervised matrix-factorization-based dimensionality reduction (DR) techniques are popularly used for feature engineering with the goal of improving the generalization performance of predictive models, especially with massive, sparse feature sets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94bb58bb0417aa0ed58213627135fabc
https://doi.org/10.1007/s10618-019-00616-4
https://doi.org/10.1007/s10618-019-00616-4
Publikováno v:
Machine learning
Many real-world large datasets correspond to bipartite graph data settings—think for example of users rating movies or people visiting locations. Although there has been some prior work on data analysis with such bigraphs, no general network-orient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6be55a03d93204484b399b4c6659ff18
https://hdl.handle.net/10067/1704730151162165141
https://hdl.handle.net/10067/1704730151162165141
Publikováno v:
KDD
World's major industries, such as Financial Services, Telecom, Advertising, Healthcare, Education, etc, have attracted the attention of the KDD community for decades. Hundreds of KDD papers have been published on topics related to these industries an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4853e05d801ca3f9235b693445c7ef25
https://doi.org/10.1145/3394486.3406476
https://doi.org/10.1145/3394486.3406476