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Xtreme Margin: a tunable loss function for binary classification problems
R Wali - ar**s and score functions, are …
Scalable linear classifiers based on exponential loss function
We first propose an empirical risk minimization based binary classification algorithm,
ExpERM, with exponential function as surrogate loss function. Our ExpERM algorithm is …
ExpERM, with exponential function as surrogate loss function. Our ExpERM algorithm is …
Communicating space science on social media: A study of engagement and trust in science
YL Hwong - 2018 - unsworks.unsw.edu.au
dc. description. abstract There is concern that a crisis of trust may be looming between
society and scientists, as evidenced by the display of considerable public distrust in …
society and scientists, as evidenced by the display of considerable public distrust in …
Goal scoring, coherent loss and applications to machine learning
Motivated by the binary classification problem in machine learning, we study in this paper a
class of decision problems where the decision maker has a list of goals, from which he aims …
class of decision problems where the decision maker has a list of goals, from which he aims …