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Information overload and the rapid pace of scientific advancement make it increasingly difficult to evaluate and allocate resources to new research proposals. Is there a structure to scientific discovery that could inform such decisions? We…

Digital Libraries · Computer Science 2025-08-21 Giacomo Radaelli , Jonah Lynch

A fundamental problem in technological studies is how to measure the evolution of technology. The literature has suggested several approaches to measuring the level of technology (or state-of-the-art) and changes in technology. However, the…

Economics · Quantitative Finance 2018-03-26 Mario Coccia

We address the problem of incremental sequence classification, where predictions are updated as new elements in the sequence are revealed. Drawing on temporal-difference learning from reinforcement learning, we identify a…

In this paper we describe a statistical procedure to account for differences in grading practices from one course to another. The goal is to define a course "inflatedness" and a student "aptitude" that best captures one's intuitive notions…

Applications · Statistics 2012-09-06 Robert J. Vanderbei , Gordon Scharf , Daniel Marlow

In this short position paper we briefly review the development history of automated inductive theorem proving and computer-assisted mathematical induction. We think that the current low expectations on progress in this field result from a…

Artificial Intelligence · Computer Science 2013-09-17 Claus-Peter Wirth

The problem of advancing coordinatization of mathematics is considered. The need to develop a theory for measuring value and complexity of mathematical implications and proofs is discussed including motivations, benefits and implementation…

History and Overview · Mathematics 2018-03-07 Peteris Daugulis

It is offered to pool test points of different subjects and different aspects of the same subject together in order to get the unitary rating score, by the way of nonlinear transformation of indicator points in accordance with Zipf's…

Machine Learning · Computer Science 2007-05-23 Kromer Victor

The paper tries to identify new emerging patterns in the context of technological progress. Just as industrialization is associated with rationalization, mechanization, and automation, the Internet age is associated with computer models,…

Computers and Society · Computer Science 2012-06-28 Pankaj Sati

It is widely agreed that exams must be fair; yet what this exactly means is not made clear. One may mean fairness of treatment, but this merely propagates the fairness or unfairness of pre-existing rules. Fairness of opportunity on the…

General Physics · Physics 2008-04-01 Mathieu Bouville

The ability of a classifier to take on new information and classes by evolving the classifier without it having to be fully retrained is known as incremental learning. Incremental learning has been successfully applied to many…

Machine Learning · Computer Science 2007-09-26 Greg Hulley , Tshilidzi Marwala

The article gives a survey of mathematical proofs that rely on computer calculations and formal proofs.

History and Overview · Mathematics 2013-02-13 Thomas Hales

There is a critical need to develop new educational technology applications that analyze the data collected by universities to ensure that students graduate in a timely fashion (4 to 6 years); and they are well prepared for jobs in their…

Machine Learning · Computer Science 2017-09-19 Zhiyun Ren , Xia Ning , Huzefa Rangwala

We propose a novel class incremental learning approach by incorporating a feature augmentation technique motivated by adversarial attacks. We employ a classifier learned in the past to complement training examples rather than simply play a…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Taehoon Kim , Jaeyoo Park , Bohyung Han

Explainability of a classification model is crucial when deployed in real-world decision support systems. Explanations make predictions actionable to the user and should inform about the capabilities and limitations of the system. Existing…

Machine Learning · Computer Science 2022-12-13 Erwin Walraven , Ajaya Adhikari , Cor J. Veenman

Comment on ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]

Methodology · Statistics 2008-12-18 Trevor Hastie

This is a report about the use and misuse of citation data in the assessment of scientific research. The idea that research assessment must be done using ``simple and objective'' methods is increasingly prevalent today. The ``simple and…

Methodology · Statistics 2009-10-20 Robert Adler , John Ewing , Peter Taylor

If you want to tell people the truth, make them laugh, otherwise they'll kill you. (source unclear) Machine learning and deep learning are the technologies of the day for developing intelligent automatic systems. However, a key hurdle for…

Machine Learning · Computer Science 2019-01-08 Fayyaz Minhas , Amina Asif , Asa Ben-Hur

I survey recent progress on a classic and challenging problem in social choice: the fair division of indivisible items. I discuss how a computational perspective has provided interesting insights into and understanding of how to divide…

Artificial Intelligence · Computer Science 2020-05-12 Toby Walsh

Predicting the Credit Defaulter is a perilous task of Financial Industries like Banks. Ascertaining non-payer before giving loan is a significant and conflict-ridden task of the Banker. Classification techniques are the better choice for…

Machine Learning · Computer Science 2015-03-29 Lakshmi Devasena C

In this note I describe reliability standards for writing and reviewing mathematical papers; these standards are (in my opinion) vital for the progress of mathematics. I give examples of applying the described or other reliability…

History and Overview · Mathematics 2025-07-08 A. Skopenkov