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Institution

Helsinki Institute for Information Technology

FacilityEspoo, Finland
About: Helsinki Institute for Information Technology is a facility organization based out in Espoo, Finland. It is known for research contribution in the topics: Population & Bayesian network. The organization has 630 authors who have published 1962 publications receiving 63426 citations.


Papers
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Journal ArticleDOI
TL;DR: This study considers potential model update as an investment decision, which, as in the financial markets, should be taken only if a certain return on investment is expected and proposes a reference framework for analyzing adaptation strategies in terms of costs and benefits.

42 citations

Posted Content
TL;DR: This paper examined the phenomenon from a sociological perspective, aiming to understand how some media representations come to be perceived as virtual commodities, what motivations individuals have for spending money on these commodities, and how the resulting virtual consumerism relates to consumer culture at large.
Abstract: Selling virtual items for real money is increasingly being used as a revenue model in games and other online services. To some parents and authorities, this has been a shock: previously innocuous ‘consumption games’ suddenly seem to be enticing players into giving away their money for nothing. In this article, we examine the phenomenon from a sociological perspective, aiming to understand how some media representations come to be perceived as ‘virtual commodities’, what motivations individuals have for spending money on these commodities, and how the resulting ‘virtual consumerism’ relates to consumer culture at large. The discussion is based on a study of everyday practices and culture in Habbo Hotel, a popular massively-multiuser online environment permeated with virtual items. Our results suggest that virtual commodities can act in essentially the same social roles as material goods, leading us to ask whether ecologically sustainable virtual consumption could be a substitute to material consumerism in the future.

42 citations

Journal ArticleDOI
TL;DR: It is suggested that both 7- and 12- month-olds can use acquired action-effect bindings to predict action outcomes but only 12-month-olds showed evidence for employing action-effects to select actions.
Abstract: Ideomotor theory considers bidirectional action-effect associations to be the fundamental building blocks for intentional action. The present study employed a novel pupillometric and oculomotor paradigm to study developmental changes in the role of action-effects in the acquisition of voluntary action. Our findings suggest that both 7- and 12-month-olds (and adults) can use acquired action-effect bindings to predict action outcomes but only 12-month-olds (and adults) showed evidence for employing action-effects to select actions. This dissociation supports the idea that infants acquire action-effect knowledge before they have developed the cognitive machinery necessary to make use of that knowledge to perform intentional actions.

42 citations

Journal ArticleDOI
TL;DR: This work proposes a method that separates dependent sources without a parametric model of their dependency structure by introducing some general assumptions on the structure of the dependencies: the sources are dependent only through their variances, and the variances of the sources have temporal correlations.

41 citations

Journal ArticleDOI
TL;DR: A new projection technique is presented that unifies two existing techniques and is both accurate and fast to compute and a way of evaluating the feature selection process using fast leave-one-out cross-validation that allows for easy and intuitive model size selection is proposed.
Abstract: This paper reviews predictive inference and feature selection for generalized linear models with scarce but high-dimensional data. We demonstrate that in many cases one can benefit from a decision theoretically justified two-stage approach: first, construct a possibly non-sparse model that predicts well, and then find a minimal subset of features that characterize the predictions. The model built in the first step is referred to as the reference model and the operation during the latter step as predictive projection. The key characteristic of this approach is that it finds an excellent tradeoff between sparsity and predictive accuracy, and the gain comes from utilizing all available information including prior and that coming from the left out features. We review several methods that follow this principle and provide novel methodological contributions. We present a new projection technique that unifies two existing techniques and is both accurate and fast to compute. We also propose a way of evaluating the feature selection process using fast leave-one-out cross-validation that allows for easy and intuitive model size selection. Furthermore, we prove a theorem that helps to understand the conditions under which the projective approach could be beneficial. The key ideas are illustrated via several experiments using simulated and real world data.

41 citations


Authors

Showing all 632 results

NameH-indexPapersCitations
Dimitri P. Bertsekas9433285939
Olli Kallioniemi9035342021
Heikki Mannila7229526500
Jukka Corander6641117220
Jaakko Kangasjärvi6214617096
Aapo Hyvärinen6130144146
Samuel Kaski5852214180
Nadarajah Asokan5832711947
Aristides Gionis5829219300
Hannu Toivonen5619219316
Nicola Zamboni5312811397
Jorma Rissanen5215122720
Tero Aittokallio522718689
Juha Veijola5226119588
Juho Hamari5117616631
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20224
202185
202097
2019140
2018127