The Probably Almost Exact model (PAExact) BJT02] can be viewed as the Exact model relaxed so that 1. The counterexamples to equivalence queries are distributionally drawn rather than adversarially chosen. 2. The output hypothesis is equal to the target with negligible error (1=!(poly) for any poly). This model allows studying (Almost) Exact learn-ability of innnite classes and is in some sense ...

Statistical performance bounds for reinforcement learning (RL) algorithms can be critical for high-stakes applications like healthcare. This paper introduces a new framework for theoretically measuring the performance of such algorithms called Uniform-PAC, which is a strengthening of the classical Probably Approximately Correct (PAC) framework. In contrast to the PAC framework, the uniform vers...

Large sparse datasets are common in many realworld applications. Linear SVM has been shown to be very efficient for classifying such datasets. However, it is still unknown how data sparseness would affect its convergence behavior. To study this problem in a systematic manner, we propose a novel approach to generate large and sparse data from real-world datasets, using statistical inference and ...

In this paper we discuss PAC-learning of functions from a traditional System Identiicaton perspective. The well established asymptotic theory for the iden-tiied models' properties is reviewed from the PAC-learning perspective. The role of nite-dimensional, smooth parametrizations over compact parameter sets is spelled out. This also sets some limits for the interest of identiication-theory type...

The presence of left ventricular (LV) dyssynchrony in heart failure patients has been largely associated with improved outcome and LV reverse remodelling after cardiac resynchronization therapy (CRT). However, definition of LV dyssynchrony remains controversial. While current guidelines include QRS duration (.120 ms) and morphology [left bundle branch block (LBBB) vs. non-LBBB] as marker of LV ...

We consider   bivariate  mean-value interpolationproblem, where the integrals over circles are interpolation data. In this case the problem  is described  over   circles of the same radius and with  centers are on astraight line and it is shown that in this case the interpolation is not correct.

Objectives: The Percentage of vowel correct (PVC) is one of the indices in the development of articulation and phonological skills in children that can be measured with speech samples that could be extracted from the single word or connected speech tests. The aim of this study is to introduce the PVC scale in Persian speaking children and investigate its validity and reliability. Methods: Th...