Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
In theoretical cryptography, one formalizes the notion of an adversary's success probability being "too small to matter" by asking that it be a negligible function ...
- Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-bas...
Jin S. Zhang, Alan Mishchenko, Robert K. Brayton, ...
Residual gradient (RG) was proposed as an alternative to TD(0) for policy evaluation when function approximation is used, but there exists little formal analysis comparing them ex...
It is possible to extend the basic notion of "function call" to allow functions to have multiple return points. This turns out to be a surprisingly useful mechanism. Thi...