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Language Log was started on July 28, 2003, by Liberman and Pullum, a linguist then at the University of California, Santa Cruz (now at the University of Edinburgh).One early post about a woman who wrote egg corns instead of acorns led to the coinage of the word eggcorn to refer to a type of sporadic or idiosyncratic re-analysis.
The Japanese at Buna-Gona were unable to dig deep trenches or shelters due to the 91-centimetre-deep (3 ft) water table. Instead, they built hundreds of coconut log bunkers. [41]: 246 These had mutually supporting lines of fire and were organized in depth. The bunkers were often linked by trenches allowing the Japanese to move at will among ...
[16] [17] Support vector machine weights have also been used to interpret SVM models in the past. [18] Posthoc interpretation of support vector machine models in order to identify features used by the model to make predictions is a relatively new area of research with special significance in the biological sciences.
In the language of tropical analysis, the softmax is a deformation or "quantization" of arg max and arg min, corresponding to using the log semiring instead of the max-plus semiring (respectively min-plus semiring), and recovering the arg max or arg min by taking the limit is called "tropicalization" or "dequantization".
The Wayback Machine is a service which can be used to cite archived copies of web pages used by articles. This is useful if a web page has changed, moved, or disappeared; links to the original content can be retained.
In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data.This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable.
Therefore, it is regarded as the log-EM algorithm. The use of the log likelihood can be generalized to that of the α-log likelihood ratio. Then, the α-log likelihood ratio of the observed data can be exactly expressed as equality by using the Q-function of the α-log likelihood ratio and the α-divergence.
Machine to machine (M2M) is direct communication between devices using any communications channel, including wired and wireless. [1] [2] Machine to machine communication can include industrial instrumentation, enabling a sensor or meter to communicate the information it records (such as temperature, inventory level, etc.) to application software that can use it (for example, adjusting an ...
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