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Analysis of algorithms

Known as: Problem size, Uniform cost model, Runtime analysis 
In computer science, the analysis of algorithms is the determination of the amount of resources (such as time and storage) necessary to execute them… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
Language model pretraining has led to significant performance gains but careful comparison between different approaches is… 
Highly Cited
2016
Highly Cited
2016
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome… 
Highly Cited
2015
Highly Cited
2015
A very simple way to improve the performance of almost any machine learning algorithm is to train many different models on the… 
Highly Cited
2007
Highly Cited
2007
We will introduce the use of self-organizing maps in a data visualization context. We will also examine its algorithmic… 
Highly Cited
2007
Highly Cited
2007
This paper presents a method of estimating camera pose in an unknown scene. While this has previously been attempted by adapting… 
Highly Cited
2003
Highly Cited
2003
Hybrid density functionals are very successful in describing a wide range of molecular properties accurately. In large molecules… 
Highly Cited
1995
Highly Cited
1995
The SPLASH-2 suite of parallel applications has recently been released to facilitate the study of centralized and distributed… 
Highly Cited
1994
Highly Cited
1994
Introduction. What is Parallel Computing? The Scope of Parallel Computing. Issues in Parallel Computing. Organization and… 
Highly Cited
1989
Highly Cited
1989
* For junior/senior computer science majors. * Presents concept of the algorithm as a product of design techniques that students… 
Highly Cited
1984
Highly Cited
1984
  • L. Valiant
  • Symposium on the Theory of Computing
  • 1984
  • Corpus ID: 59712
Humans appear to be able to learn new concepts without needing to be programmed explicitly in any conventional sense. In this…