algorithms research paper

Mathematical Algorithms a. Basic i. Absolute value function ii. Signum function iii. Max / min iv. Floor / ceil b. Binary arithmetics i. Addition ii ...

dekeyser.ch·62.8 MB

by L Raymond · 2025 · Cited by 36 — In this paper, I study how the availability of algorithmic prediction changes entry, allocation, and prices in the US single-family

www.lindseyrraymond.com·5.4 MB

This research project aimed to create the space for young people to (a) learn more about AI and algorithms and their repercussions on privacy rights;

mediasmarts.ca·3.4 MB

by DS HOCHBAUM · Cited by 1071 — More important, there is strong complexity-theoretic evidence that any approach that seeks to obtain an approximation algorithm for the minimum makespan problem ...

www.columbia.edu·1.7 MB

by L Oneto · Cited by 2 — In this paper we presented a novel theoretical perspective to the problem of building RA or learning RM that try to simultaneously optimize ...

www.esann.org·1.5 MB

by S Kocabay · Cited by 9 — Abstract. This paper aims to present a dynamic multi objective genetic algorithm (MOGA) framework for the purpose of generating 3D mass models.

papers.cumincad.org·1.4 MB

To distinguish between serious algorithm problems and pedagogical exercises intended to help students think algorithmically (e.g., Tower of Hanoi problem), we ...

ide.mit.edu·1.3 MB

by RT Allen · 2020 · Cited by 271 — A strand of this literature compares the accuracy of algorithmic and human judgment, and examines whether humans will accept and use algorithmic advice.

www.hbs.edu·1.2 MB

The algorithmic framework for online learning we propose in this dissertation stems from a connection that we make between the notions of regret in online ...

home.ttic.edu·976.2 KB

by JY Cai · 2009 · Cited by 21 — Valiant's theory of holographic algorithms is a novel methodology to achieve exponential speed-ups in computation.

pages.cs.wisc.edu·840.7 KB

This report looks at computer algorithms designed to make predictions and answer questions. These algorithms, otherwise known as automated decision systems, use ...

greenlining.org·828.2 KB

by P Karimi · 2025 · Cited by 4 — This paper asks whether LLMs can help design robust heuris- tic (approximate) algorithms and whether “old-school” mod- eling techniques ...

people.csail.mit.edu·797.3 KB

The aim of this report is to offer a broad roadmap for work on the ethical and societal implications of algorithms, data, and AI (ADA) in the coming years. It ...

www.nuffieldfoundation.org·761.2 KB

by S Adriaensen · Cited by 18 — this paper focuses on formulating the Algo- rithm Design Problem (ADP) in a general design in the future.

www.ijcai.org·723.4 KB

by MS Gal · Cited by 1 — We employ Decision Theory to help determine how competition laws should be optimally framed in the age of algorithmic decision-making. As we ...

www.sipotra.it·715.0 KB

With such a wide variety of computer systems and ar- chitectures in use or proposed, the challenge for algorithm designers is to develop algorithms-and ultimate ...

www.netlib.org·705.9 KB

Research comparing the effectiveness of algorithmic and human forecasts shows that algorithms consistently outperform humans. In his book Clinical Versus ...

marketing.wharton.upenn.edu·674.6 KB

by J Asker · Cited by 129 — This paper investigates how the design of artificial intelligences' learning proto- cols can lead to competitive or supra- competitive price outcomes,

www.johnasker.com·667.2 KB

Abstract. The last three years have witnessed several major advances in the area of combinatorial algorithms. These include improved algorithms for matrix ...

i.stanford.edu·582.9 KB

This paper explored three common graph theoretic algorithms: the Ford-Fulkerson al- gorithm, Dijkstra's algorithm, the Critical Path method.

raysforexcellence.squarespace.com·576.3 KB