Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tomasz Kusmierczyk"'
Publikováno v:
University of Helsinki
Bayesian decision theory outlines a rigorous framework for making optimal decisions based on maximizing expected utility over a model posterior. However, practitioners often do not have access to the full posterior and resort to approximate inference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba70b2af60f5946a5e0c8b745f5852b2
http://hdl.handle.net/10138/310129
http://hdl.handle.net/10138/310129
Publikováno v:
AAAI
Bayesian models quantify uncertainty and facilitate optimal decision-making in downstream applications. For most models, however, practitioners are forced to use approximate inference techniques that lead to sub-optimal decisions due to incorrect pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17db718d3f9ffd1aa2946d6cd603d43a
http://arxiv.org/abs/1909.04919
http://arxiv.org/abs/1909.04919
Publikováno v:
WWW
A wide variety of online platforms use digital badges to encourage users to take certain types of desirable actions. However, despite their growing popularity, their causal effect on users» behavior is not well understood. This is partly due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2354864a12d01c56607612e0db7e06ee
https://doi.org/10.1145/3178876.3186147
https://doi.org/10.1145/3178876.3186147
Autor:
Kjetil Nørvåg, Tomasz Kusmierczyk
Publikováno v:
CIKM
Dietary pattern analysis is an important research area, and recently the availability of rich resources in food-focused social networks has enabled new opportunities in that field. However, there is a little understanding of how online textual conten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f929b6fc6c8ee2809f86f398deac1125
https://doi.org/10.1145/2983323.2983897
https://doi.org/10.1145/2983323.2983897
Publikováno v:
HT
Studying online food patterns has recently become an active field of research. While there are a growing body of studies that investigate how online food in consumed, little effort has been devoted yet to understand how online food recipes are being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc83e214f8db3eb9934115aefc70795
https://doi.org/10.1145/2914586.2914632
https://doi.org/10.1145/2914586.2914632
Publikováno v:
WWW (Companion Volume)
In this paper, we present work-in-progress of a recently started research effort that aims at understanding the hidden temporal dynamics in online food communities. In this context, we have mined and analyzed temporal patterns in terms of recipe prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74fbad39817e6486420e9ed00dc49709
https://doi.org/10.1145/2740908.2742752
https://doi.org/10.1145/2740908.2742752
Publikováno v:
WWW (Companion Volume)
Since innovation plays an important role in the context of food, as evident in how successful chefs, restaurants or cuisines in general evolve over time, we were interested in exploring this dimension from a more virtual perspective. In particular, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c2700d083504b7ff022711ccc08741
https://doi.org/10.1145/2740908.2741700
https://doi.org/10.1145/2740908.2741700
Autor:
Tomasz Kusmierczyk, Kjetil Nørvåg
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783319181196
DASFAA (1)
DASFAA (1)
Existing methods for finding correlations between bursty time series are limited to collections consisting of a small number of time series. In this paper, we present a novel approach for mining correlation in collections consisting of a large number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6bfd9aa0da74831d1ef8af728cfcbd0
https://doi.org/10.1007/978-3-319-18120-2_4
https://doi.org/10.1007/978-3-319-18120-2_4
Publikováno v:
University of Helsinki
Uplift modeling refers to estimating the causal effect of a treatment on an individual ob- servation, used for instance to identify customers worth targeting with a discount in e- commerce. We introduce a simple yet effective undersampling strategy f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2c93044d98df9b1c7221624392e21236
https://researchportal.helsinki.fi/en/publications/376f950d-6dc5-499f-bcc6-224319de9d4f
https://researchportal.helsinki.fi/en/publications/376f950d-6dc5-499f-bcc6-224319de9d4f