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Web-based platforms enhance teaching and learning in the classroom.Today, 100,000 students across the U.S. use an online mathematics tutoring and assessment program developed by an NSF-funded research...
Online scheduling is a rapidly developed branch in scheduling theory. In the research of online scheduling, makespan minimization on unbounded parallel-batch machines is a fruitful area. In this paper...
The present paper considers online classification learning algorithms associated with convex loss functions, and gives the error analysis of coefficient regularized online classification algorithms. T...
Abstract: Conflict-free coloring is a kind of coloring of hypergraphs requiring each hyperedge to have a color which appears only once. More generally, there are $k$-conflict-free coloring ($k$-CF-col...
The standard model of online prediction deals with serial processing of inputs by a single processor.
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly common to encounter sit...
Let g be the element Pn0 xn2 of A = Z/2[[x]], and B consist of all n for which the coefficient of xn in 1 g is 1. (The elements of B are the entries 0, 1, 2, 3, 5, 7, 8, 9, 13, . . . in A108345; see...
In this paper, we consider the semi-online preemptive scheduling problem with known largest job sizes on two uniform machines. Our goal is to maximize the continuous period of time (starting from time...
This is a collection of links to electronic information related to Computational Fluid Dynamics. The aim is to give an overview of the vast resources available on the net for people working with CFD. ...
December 11, 2006,When instructors at Bronx-area community colleges applied for a National Science Foundation (NSF) grant to study how students think about fundamental concepts of calculus, they hoped...

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