Runway performance in rats as a function of goal-box placements and goal-event sequence.

1970 ◽  
Vol 71 (2, Pt.1) ◽  
pp. 283-291 ◽  
Author(s):  
M. J. Homzie ◽  
Jerry W. Rudy ◽  
Edwin N. Carter
Keyword(s):  
Event Sequence ◽  
Goal Event ◽  
Runway Performance

Interactive Event Sequence Prediction for Marketing Analysts

2020 ◽  
Author(s):  
Fan Du ◽  
Shunan Guo ◽  
Sana Malik ◽  
Eunyee Koh ◽  
Sungchul Kim ◽  
...  
Keyword(s):  
Event Sequence ◽  
Sequence Prediction

scholarly journals Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis

2015 ◽  
Vol 2015 ◽  
pp. 1-13
Author(s):  
Jianwei Ding ◽  
Yingbo Liu ◽  
Li Zhang ◽  
Jianmin Wang
Keyword(s):  
Working Condition ◽  
Sequence Data ◽  
A Priori ◽  
Real Data ◽  
Data Sets ◽  
Main Task ◽  
Event Sequence ◽  
Telemetry Data ◽  
Condition Monitoring Systems ◽  
Condition Diagnosis

Condition monitoring systems are widely used to monitor the working condition of equipment, generating a vast amount and variety of telemetry data in the process. The main task of surveillance focuses on analyzing these routinely collected telemetry data to help analyze the working condition in the equipment. However, with the rapid increase in the volume of telemetry data, it is a nontrivial task to analyze all the telemetry data to understand the working condition of the equipment without any a priori knowledge. In this paper, we proposed a probabilistic generative model called working condition model (WCM), which is capable of simulating the process of event sequence data generated and depicting the working condition of equipment at runtime. With the help of WCM, we are able to analyze how the event sequence data behave in different working modes and meanwhile to detect the working mode of an event sequence (working condition diagnosis). Furthermore, we have applied WCM to illustrative applications like automated detection of an anomalous event sequence for the runtime of equipment. Our experimental results on the real data sets demonstrate the effectiveness of the model.

scholarly journals Gerbil runway performance under hunger motivation

1969 ◽  
Vol 16 (1) ◽  
pp. 36-37 ◽  
Author(s):  
James H. Reynierse ◽  
Michael J. Scavio ◽  
James D. Ulness
Keyword(s):  
Runway Performance ◽  
Hunger Motivation

scholarly journals A benchmark event sequence for mass ejection onset studies

2006 ◽  
Vol 461 (3) ◽  
pp. 1155-1162 ◽  
Author(s):  
R. A. Harrison ◽  
D. Bewsher
Keyword(s):  
Event Sequence ◽  
Mass Ejection
Sign in / Sign up

Export Citation Format

Share Document