Helsinki ICT Research Events

Abstract:
The normalized random measure is a large class of random probability
measures that has appealing properties and wide applications in
Bayesian nonparametrics. In this talk I will review the Poisson
process, completely random measures, and how to construct normalized
random measure from them. I will then talk about its posterior
...

Professor Klaus-Robert Müller, Technical University (TU) Berlin, Germany

Brain Computer Interfacing makes use of brain signals for the control of objects (e.g., wheel chairs), spelling, computer gaming, and other applications. This talk will provide a brief overview of current Brain Computer Interface technology. In particular, it will show the wealth, complexity and difficulties of the data available. The challenge is enormous:...

This is the sixth lecture of Helsinki Distinguished Lecture Series on Future Information Technology.  The lecture is organized jointly with the Aalto Brain Centre (ABC).

The event is open for everybody. Registration (for logistic purposes):...

Title
Normalized Random Measures and Extensions

Abstract
The normalized random measure is a large class of random probability measures that has appealing properties and wide applications in Bayesian nonparametrics. In this talk I will review the Poisson process, completely random measures, and how to construct normalized random measure from them. I will then talk about its posterior characterization,...

Title
Min-Sum 2-Paths Problems

Abstract
An orientation of an undirected graph $G$ is a directed graph obtained by replacing each edge $\{u,v\}$ of $G$ by exactly one of the arcs $(u,v)$ or $(v,u)$.

In the min-sum $2$-paths orientation problem, the input is an undirected graph $G$ and two ordered pairs $(s_1,t_1)$, $(s_2,t_2)$. The goal is to find an orientation of $G$ that minimizes the sum of the...

Prof. Einoshin Suzuki, Kyushu University, Japan

I will present our ongoing work towards facilitating the development of monitoring systems with low cost autonomous mobile robots by unifying techniques from data mining and databases. Such a system is less invasive to privacy, more flexible to changes, and more focused in its observation. However, it is subject to major obstacles...

In many fields of science, researchers are keen to learn causal connections among quantities of interest. For instance, in medical studies doctors want to infer the effect of a new drug on the recovery from a particular disease, or economists may be interested in the effect of education on income.

The preferred approach to causal inference is to carry...