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Recurrence Methods in the Analysis of Learning Processes

机译:学习过程分析中的递归方法

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The goal of most learning processes is to bring a machine into a set of "correct' states. In practice, however, it may be difficult to show that the process enters this target set. We present a condition that ensures that the process visits the target set infinitely often almost surely. This condition is easy to verify and is true for many well-known learning rules.
机译:大多数学习过程的目标是使机器进入一组“正确”状态,但是在实践中,可能很难证明过程已进入此目标集。我们提出了确保过程访问过程的条件。通常几乎可以肯定地无限地设置目标,这一条件易于验证,并且对于许多众所周知的学习规则都是正确的。

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