This paper develops and calibrates a simple yet comprehensive set of models for the evolution of binary attribute importance weights, based on a cue-goal association framework. We argue that the ...
Viewing machine translation (MT) as a structured classification problem has provided a gateway for a host of structured prediction techniques to enter the field. In particular, large-margin methods ...
Multi-class classification can be solved by decomposing it into a set of binary classification problems according to some encoding rules. Existing works solve these binary classification problems in ...
Other than the growth mindset, I argue that five other beliefs are particularly important to promote in classrooms to help ...
Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Facebook’s explanations for how its heavily promoted AI algorithms ...
Similar to a mouse racing through a maze, making “yes” or “no” decisions at every intersection, researchers have developed a way for machines to swiftly learn all the twists and turns in a complex ...
Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...
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