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Serum BDNF and cognitive risk in maintenance hemodialysis: a machine learning study. [PDF]

Ren Fail
Tang Q, Tian J, Ying X, Zhang Y, Huo Y, Liu D, Zhang Y.   +6 more
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A theory of rate-based execution

Proceedings 20th IEEE Real-Time Systems Symposium (Cat. No.99CB37054), 2003
We present a task model for the real-time execution of event-driven tasks in which no a priori characterization of the actual arrival rates of events is known; only the expected arrival rates of events is known. The model, called rate-bared execution (RBE), is a generalization of Mok's sporadic task model.
Kevin Jeffay, Steve Goddard
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Base rate effects on the IAT

Consciousness and Cognition, 2009
We investigated the influence of stimulus base rates on the Implicit Association Test (IAT). Using an East/West-German attitude-IAT, we demonstrated that both overall response speed and differential response speed underlying IAT effects depend on the relative frequencies of the stimulus categories.
Matthias, Bluemke, Klaus, Fiedler
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Experience and the base-rate fallacy

Organizational Behavior and Human Performance, 1982
Abstract This study shows that decision makers can use the base rate to assess posterior probabilities when they have experienced the relationship between the base rate and the diagnostic information. When they experience only the base rate, they do not use it.
J J, Christensen-Szalanski, L R, Beach
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Recommending based on rating frequencies

Proceedings of the fourth ACM conference on Recommender systems, 2010
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative filtering recommender systems like predictive accuracy, scalability to large problem instances or the capability to deal with sparse data sets. Many of the recent algorithms rely
Fatih Gedikli, Dietmar Jannach
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