نتایج جستجو برای: competitive protein

تعداد نتایج: 1318184  

Journal: :CoRR 2017
Elizabeth D. Mynatt Jennifer Clark Gregory D. Hager Daniel P. Lopresti J. Gregory Morrisett Klara Nahrstedt George Pappas Shwetak N. Patel Jennifer Rexford Helen V. Wright Benjamin G. Zorn

Our infrastructure touches the day-to-day life of each of our fellow citizens, and its capabilities, integrity and sustainability are crucial to the overall competitiveness and prosperity of our country. Unfortunately, the current state of U.S. infrastructure is not good: the American Society of Civil Engineers’ latest report on America’s infrastructure ranked it at a D+ — in need of $3.9 trill...

Journal: :Neural Computation 1994
Geoffrey J. Goodhill Harry G. Barrow

The effect of different kinds of weight normalization on the outcome of a simple competitive learning rule is analysed. It is shown that there are important differences in the representation formed depending on whether the constraint is enforced by dividing each weight by the same amount (“divisive enforcement”), or subtracting a fixed amount from each weight (“subtractive enforcement”). For th...

Journal: :Math. Oper. Res. 1997
Ran El-Yaniv Richard M. Karp

This paper studies the following online replacement problem. There is a real function f(t), called the ow rate, deened over a nite time horizon 0; T]. It is known that m f(t) M for some reals 0 m < M. At time 0 an online player starts to pay money at the rate f(0). At each time 0 < t T the player may changeover and continue paying money at the rate f(t). The complication is that each such chang...

1990
Robert A. Jacobs Michael I. Jordan

We describe a multi-network, or modular, connectionist architecture that captures that fact that many tasks have structure at a level of granularity intermediate to that assumed by local and global function approximation schemes. The main innovation of the architecture is that it combines associative and competitive learning in order to learn task decompositions. A task decomposition is discove...

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