Gallery — Popular

A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

Relatório de Estágio - Wellington Sales Eugênio Santos
Relatório de Estágio - Wellington Sales Eugênio Santos
Relatório de estágio desenvolvido para a obtenção do título de Bacharel em Ciência da Computação no Instituto de Computação na Universidade Federal de Mato Grosso.
Wellington Sales
Lição 07 - Frutificando traz alegria
Lição 07 - Frutificando traz alegria
Lição Célula protótipo
Egmon Pereira
V-Formation as Optimal Control
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).
Junxing
Solutions for Concurrency Control in DBMS : A Survey
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
Faheem Feroz
Schoendoosanamorfosen en speelplaatsanamorfosen
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
FSU-MATH2400-Project4
FSU-MATH2400-Project4
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.
Sarah Wright
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
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.
leo.ranaldi
Solucion parcial 3
Solucion parcial 3
Solución al tercer examen parcial del curso de Algebra
Memo Garro
Trabalhos Gráficos para a IP Acesita
Trabalhos Gráficos para a IP Acesita
Trabalhos Gráficos para a IP Acesita
Egmon Pereira