Learning in the cerebellum with sparse conjunctions and linear separator algorithms

Using hard classifiers to estimate conditional class probabilities

OM Halck - European Conference on Machine Learning, 2002 - Springer
In many classification problems, it is desirable to have estimates of conditional class
probabilities rather than just “hard” class predictions. Many algorithms specifically designed …
被引用次数：10 相关文章 所有 9 个版本

Evidence that Incremental Delta-Bar-Delta is an attribute-efficient linear learner

HD Harris - European Conference on Machine Learning, 2002 - Springer
The Winnow class of on-line linear learning algorithms [10],[11] was designed to be attribute-
efficient. When learning with many irrelevant attributes, Winnow makes a number of errors …
被引用次数：1 相关文章 所有 9 个版本