Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
: As computer performance and graphics hardware continue to improve, the gamer is increasingly being presented with richer and more realistic visual environments. Viewing these vir...
The debate on “openness” has tended to focus on standard setting, software copyrights, patent policy and collaborative innovation models – large issues that evoke heated deb...
Sacha Wunsch-Vincent, Taylor Reynolds, Andrew Wyck...
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Abstract—Si photonic wire waveguides are attractive for constructing various optical devices that are extremely small because the waveguides can be bent with extremely small curv...
Hirohito Yamada, Tao Chu, Satomi Ishida, Yasuhiko ...