Agenda Eventos

Themis Palpanas: «Data Series Management: Fulfilling the Need for Big Sequence Analytics»

Themis Palpanas: «Data Series Management: Fulfilling the Need for Big Sequence Analytics»

Abstract: There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of sequences, or data series. Examples of such applications come from social media analytics and internet service providers, as well as from a multitude of scientific domains. It is not unusual…

Prof. César Hidalgo (MIT): «¿Cómo aprenden los países? Los principios del aprendizaje colectivo»

Prof. César Hidalgo (MIT): «¿Cómo aprenden los países? Los principios del aprendizaje colectivo»

Abstract: Esta charla presentará tres principios básicos que rigen la creación y difusión del conocimiento: el principio de la experiencia, el principio de la similitud (relatedness), y el principio de la intensidad del conocimiento. Construyendo sobre estas ideas se discutirán estrategias y canales de difusión de conocimiento. Finalmente, se presentarán herramientas de integración, distribución, y visualización…

Luis-Daniel Ibáñez: Proyectos QROWD y Observatorio Europeo de Blockchain

Luis-Daniel Ibáñez: Proyectos QROWD y Observatorio Europeo de Blockchain

Abstract: El seminario versará sobre las actividades científicas y de innovación de dos proyectos actualmente en ejecución en la Universidad de Southampton (i) QROWD es una acción innovación patrocinada por el programa Horizon2020 enfocado en la integración de humanos en la cadena de valor de Big Data, en particular para el caso de transporte urbano…

Federico Olmedo: «Differential Privacy: How to make Privacy and Data Mining Compatible»

Federico Olmedo: «Differential Privacy: How to make Privacy and Data Mining Compatible»

Abstract: The data society we live in offers unprecedented opportunities to exploit available data. The goal of _data mining_ is precisely to extract useful information from available data and assist in e.g., decision-making or event-prediction. In doing so, available data usually contain sensitive information about individuals, and releasing even _aggregate_ information about a set of…

Felipe Tobar: A gentle introduction to Gaussian processes with applications

Felipe Tobar: A gentle introduction to Gaussian processes with applications

Abstract: The Gaussian process (GP) is a probabilistic model for functions. Unique advantages of the GP are its generality, the fact training and prediction can be performed analytically, and its ability to represent uncertainty. In this talk, we first present the concept of a generative model to introduce the probabilistic perspective to Machine Learning, then,…

I Workshop Instituto Fundamentos de los Datos – 9 y 10 de agosto de 2018

I Workshop Instituto Fundamentos de los Datos – 9 y 10 de agosto de 2018

Abstract: Workshop que reúne a todos los investigadores y colaboradores del Instituto Milenio Fundamentos de los Datos. Se presentarán los Proyectos Emblemáticos, ejes transversales que buscan maximizar el impacto social de las áreas de investigación de nuestro centro. Además, se presentarán los principios transversales del trabajo del instituto, su sentido y objetivo, y los desafíos…

Richard Mayr (University of Edinburgh): «Markov Decision Processes and Stochastic Games on Infinite Arenas»

Richard Mayr (University of Edinburgh): «Markov Decision Processes and Stochastic Games on Infinite Arenas»

Abstract: Consider Markov Decision Processes (MDPs) and 2-player turn-based stochastic games on countably infinite game graphs, with objectives expressible by parity conditions (including special cases like reachability, safety, Buchi and co-Buchi objectives). We give an overview of results about the determinacy (for games) and about the memory requirements of epsilon-optimal and optimal strategies, respectively (for MDPs…

Gianpiero Canessa (U. Adolfo Ibáñez): «An algorithm for binary chance-constrained problems using IIS»

Gianpiero Canessa (U. Adolfo Ibáñez): «An algorithm for binary chance-constrained problems using IIS»

Abstract: We propose an algorithm based on infeasible irreducible subsystems (IIS) to solve general binary chance-constrained problems. By leveraging on the problem structure we are able to generate good quality upper bounds to the optimal value early in the algorithm, and the discrete domain is used to guide us efficiently in the search of solutions….

María Jesús Lobo: Transiciones interactivas para aplicaciones cartográficas

María Jesús Lobo: Transiciones interactivas para aplicaciones cartográficas

Abstract: Hoy tenemos acceso a una gran cantidad de datos, provenientes de diferentes fuentes y que presentan diferentes características. Por ejemplo, contamos con múltiples representaciones geográficas: mapas, imágenes satélite, bases de datos vectoriales, entre otras. Los usuarios de sistemas de información geográficos necesitan combinar y comparar estas representaciones heterogéneas de una misma región. Por ejemplo,…

Alejandro Corvalán: «MACEDA dataset on the Mapuche conflict»

Alejandro Corvalán: «MACEDA dataset on the Mapuche conflict»

Abstract: Self-determination (SD) disputes are some of the most common conflicts in the world. Around a third of the civil wars in the last decades relate to demands for increased autonomy or independence (Sambanis and Milanovic, 2014). While the literature has mainly focused on the most violent conflicts, such as civil wars, recent studies have…

Éric Tanter, U. of Chile: «A (Way Too) Short Introduction to Coq»

Éric Tanter, U. of Chile: «A (Way Too) Short Introduction to Coq»

Abstract: Coq is a very popular proof assistant, used in a variety of academic and industrial projects, for formalizing both computer science results as well as mathematical ones. Coq is based on a theoretically very clean model, the Calculus of Inductive Constructions, which allows to express all of mathematics in a constructive manner. Following the…

Francisco Förster: «The Universe in a stream»

Francisco Förster: «The Universe in a stream»

Abstract: With a new generation of large etendue (the product of field of view and mirror area) survey telescopes there is a growing need for astronomical alert processing systems. Astronomical alerts correspond to detected changes in the sky with an astrophysical origin. Astronomical alert processing systems involve the real–time processing of data for alert generation,…

Jeremy Barbay, U. de Chile: MultiVariate Analysis of Dynamic Programming

Jeremy Barbay, U. de Chile: MultiVariate Analysis of Dynamic Programming

Abstract: Many practical problems can be reduced recursively to smaller or simpler instances, down to the base cases. Most often, a straightforward implementation of such reduction fails to yield a solution running in reasonable time. In many cases it is Dynamic Programming which yields solutions of industrial value, based on an adequate tuning of the…

Dr. Erick Elejalde, Universidad de Concepción What the media do in the shadows: A computational investigation of the Propaganda Model

Dr. Erick Elejalde, Universidad de Concepción What the media do in the shadows: A computational investigation of the Propaganda Model

Abstract: The Propaganda Model (PM) discussed in Manufacturing Consent is a theory in political economy that states that the mass media are channels through which governments and major power groups pass down certain ideologies and mold a general consent according to their own interests. According to the authors, every piece of news has gone through…