RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
We define three composition and structuring concepts which reflect frequently used refinements of ASMs and integrate standard structuring constructs into the global state based ...
Disunification is the problem of deciding satisfiability of a system of equations and disequations with respect to a given equational theory. In this paper we study the disunifica...
We propose a system synthesis method which bridges the gap between a highly abstract functional model and an efficient hardware or software implementation. The functional model is...