Nettsider med emneord «Machine Learning»

Publisert 8. apr. 2020 09:44
Publisert 25. feb. 2020 09:17

Classification models are often used to make decisions that affect humans: whether to approve a loan application, extend a job offer, or provide insurance. In such applications, it is desirable for the individuals to not only knowing the results but also have the ability to change the decisions of the model. For example, when a person is denied a loan by a credit scoring model, in addition to know why he/she can not received the loan, it is meaningful for the person to know what he/she can do to influence the decision, i.e. what are the input variables that, if values are changed, can alter the decision of the model. Otherwise, without this information, he/she will be denied the loan as long as the model is deployed, and – more importantly – will lack agency over a decision that affects their livelihood.

Publisert 25. feb. 2020 09:15

Classification models are often used to make decisions that affect humans: whether to approve a loan application, extend a job offer, or provide insurance. In such applications, it is desirable for the individuals to not only knowing the results but also have the ability to change the decisions of the model. For example, when a person is denied a loan by a credit scoring model, in addition to know why he/she can not received the loan, it is meaningful for the person to know what he/she can do to influence the decision, i.e. what are the input variables that, if values are changed, can alter the decision of the model. Otherwise, without this information, he/she will be denied the loan as long as the model is deployed, and – more importantly – will lack agency over a decision that affects their livelihood.

Publisert 22. feb. 2020 13:00

Insights is a 4-year Marie Sklodowska-Curie Innovative Training Networks project for the career development of 12 Early Stage Researchers (ESRs) at 10 partner institutions across Europe. INSIGHTS is focused on applying the latest advances in statistics, and in particular machine learning, to particle physics.

Publisert 5. feb. 2020 17:23
Publisert 30. jan. 2020 13:28
Publisert 24. jan. 2020 13:53
Publisert 2. jan. 2020 09:35
Publisert 2. jan. 2020 09:35
Publisert 27. nov. 2019 11:03
Publisert 20. nov. 2019 13:48
Publisert 14. nov. 2019 14:42
Publisert 25. okt. 2019 12:09
Publisert 7. okt. 2019 22:39
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Publisert 7. okt. 2019 13:46

How is rhythm processed in the human brain, and how can we model rhythm in machines? These are central research questions at the new RITMO Centre of Excellence.

We aim to take inspiration from rhythm in humans and other biological systems and develop models of rhythmic motion which can be applied to robotic and computing systems.

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Publisert 3. okt. 2019 21:41

Two new papers from SANT were presented at the NoDaLiDa conference.

Publisert 3. okt. 2019 17:09

In the field of robotics, creating grippers that can perform tasks similar to the capabilities of a human hand, is still a challenge yet to be solved. 

Publisert 2. okt. 2019 09:38

Water flow on, in and under glaciers still remains a poorly understood system. Water can flow over the surface of glaciers, as well as through channels inside and under the ice. The water thereby has strong influence both on ice melt and glacier dynamics, making glacial hydrology an important field of study.

Publisert 2. mai 2019 10:33
Publisert 2. mai 2019 10:32
Publisert 11. apr. 2019 15:19

João Gama, Associate Professor at the University of Porto, talks about the limitations of current machine learning and data mining algorithms in dealing with real-time data.

Publisert 5. mars 2019 07:08

Tuyen Trung Truong talks about the gradient descent method, and why such a simple method performs so well in practice.

Publisert 9. feb. 2019 14:42
Publisert 6. feb. 2019 13:49