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A J-domain protein enhances memory by promoting physiological amyloid formation in <i>Drosophila</i>. [PDF]
Proc Natl Acad Sci U S APatton K +7 more
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Econometric Theory, 2006
Summary: This paper introduces a new test statistic for the null hypothesis of short memory against long memory alternatives. The novelty of our statistic is that it is based on only high-order sample autocovariances and by construction eliminates the effects of nuisance parameters typically induced by short memory autocorrelation.
Harris, D, McCabe, B, Leybourne, S
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Summary: This paper introduces a new test statistic for the null hypothesis of short memory against long memory alternatives. The novelty of our statistic is that it is based on only high-order sample autocovariances and by construction eliminates the effects of nuisance parameters typically induced by short memory autocorrelation.
Harris, D, McCabe, B, Leybourne, S
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Neural Computation, 1997
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM ...
S, Hochreiter, J, Schmidhuber
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Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM ...
S, Hochreiter, J, Schmidhuber
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Do long-memory models have long memory?
International Journal of Forecasting, 2000Abstract This paper examines the predictability memory of fractionally integrated ARMA processes. Very long memory is found for positively fractionally integrated processes with large positive AR parameters. However, negative AR parameters absorb, to a great extent, the memory generated by a positive fractional difference.
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2008
Long memory models are statistical models that describe strong correlation or dependence across time series data. This kind of phenomenon is often referred to as “long memory” or “long-range dependence.” It refers to persisting correlation between distant observations in a time series. For scalar time series observed at equal intervals of time that are
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Long memory models are statistical models that describe strong correlation or dependence across time series data. This kind of phenomenon is often referred to as “long memory” or “long-range dependence.” It refers to persisting correlation between distant observations in a time series. For scalar time series observed at equal intervals of time that are
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2021
We at SEA believe that the pandemic has a granularity of meta, non-linear narratives that become useful in making sense of the relational complexities of the pandemic and society. Thus, we set out to collect stories of fears, joys, agilities, fragilities, friendships, networks, collectives, home, work, infrastructures, entrepreneurship, privileges ...
null moomal shekhawat +1 more
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We at SEA believe that the pandemic has a granularity of meta, non-linear narratives that become useful in making sense of the relational complexities of the pandemic and society. Thus, we set out to collect stories of fears, joys, agilities, fragilities, friendships, networks, collectives, home, work, infrastructures, entrepreneurship, privileges ...
null moomal shekhawat +1 more
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2013
Definition of Long Memory.- Origins and Generation of Long Memory.- Mathematical Concepts.- Limit Theorems.- Statistical Inference for Stationary Processes.- Statistical Inference for Nonlinear Processes.- Statistical Inference for Nonstationary Processes.- Forecasting.- Spatial and Space-Time Processes.- Resampling.- Function Spaces.- Regularly ...
Jan Beran +3 more
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Definition of Long Memory.- Origins and Generation of Long Memory.- Mathematical Concepts.- Limit Theorems.- Statistical Inference for Stationary Processes.- Statistical Inference for Nonlinear Processes.- Statistical Inference for Nonstationary Processes.- Forecasting.- Spatial and Space-Time Processes.- Resampling.- Function Spaces.- Regularly ...
Jan Beran +3 more
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1993
It is clear that analogy cannot work effectively without recourse to an effective method of storing patterns. However, I suggest that an even stronger statement holds: the nature of analogy actually dictates a particular type of memory structure. The only way analogy can work effectively is if it is coupled with a memory that is specifically structured
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It is clear that analogy cannot work effectively without recourse to an effective method of storing patterns. However, I suggest that an even stronger statement holds: the nature of analogy actually dictates a particular type of memory structure. The only way analogy can work effectively is if it is coupled with a memory that is specifically structured
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2017
What is the most powerful reason why we refuse to watch a movie? The answer is not the genre, the plot, the effects, nor whether it features Tom Cruise. The overwhelming reason why we refuse to watch a movie is that we've seen it already. A study of 21,000 viewings of 150 movies among 500 Penn State students revealed that 65% of movies first seen in a ...
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What is the most powerful reason why we refuse to watch a movie? The answer is not the genre, the plot, the effects, nor whether it features Tom Cruise. The overwhelming reason why we refuse to watch a movie is that we've seen it already. A study of 21,000 viewings of 150 movies among 500 Penn State students revealed that 65% of movies first seen in a ...
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