Regarding the security of ATM systems situated at various locations throughout world, constant monitoring via surveillance machine is required. Even though ATMs are equipped with manual protection, several theft events have made headlines over past few decades. Since continuous provides an alternative to security, it not feasible for banks do so every one these ATMs. With much data generated by...

We consider the problem of learning in the presence of irrelevant attributes in Valiant's PAC model V84]. In the PAC model, the goal of the learner is to produce an approximately correct hypothesis from random sample data. If the number of relevant attributes in the target function is small, it may be desirable to produce a hypothesis that also depends on only a small number of variables. Hauss...

In many domains, an appropriate inductive bias is the MIN-FEATURES bias, which prefers consistent hypotheses deenable over as few features as possible. This paper deenes and studies this bias. First, it is shown that any learning algorithm implementing the MIN-FEATURES bias requires (1 ln 1 + 1 2 p + p lnn]) training examples to guarantee PAC-learning a concept having p relevant features out of...