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V-Formation as Optimal Control
We present a new formulation of the V-formation problem for migrating birds in terms of model predictive control (MPC).
Solutions for Concurrency Control in DBMS : A Survey
This is my first Survey paper and topic is from DBMS: Concurrency control solutions. I have compared different methods in this paper. As this is my first paper so critical review is highly needed
Schoendoosanamorfosen en speelplaatsanamorfosen
Een van de verbanden tussen magie en wiskunde is de anamorfosekunst. Een anamorfosekunstwerk is een vervormde tekening die haar ware aard pas laat zien wanneer ze vanuit een welbepaald standpunt bekeken wordt (de perspectivistische anamorfose) of wanneer ze weerspiegeld wordt in spiegel met een welbepaalde vorm (de spiegelanamorfose). In deze studie gaat het alleen over de perspectivistische anamorfosen. Wiskundig leggen ze een link met centrale projecties en met centraalperspectief.
Van den Broeck Luc
This project introduces the idea of recursive sequences. Students then prove that a given recursive sequence converges and find its limit. The final portion of the project is a derivation and investigation of the Fibonacci Sequence and the Golden Ratio.
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.