In supervised machine-learning applications to natural language processing, tasks are typically formulated as classiication tasks mapping multi-valued features to multi-valued classes. Memory-based or instance-based learning algorithms are suited for such representations , but they are not restricted to them; both features and classes may be unpacked in binary values. We demonstrate in a matrix...

Azam et al. (2011), introduce the notion of complex valued metric spaces and obtained common fixed point result for mappings in the context of complex valued metric spaces. Rao et al. (2013) introduce the notion of complex valued b-metric spaces. In this paper, we generalize the results of Azam et al. (2011), and Bhatt et al. (2011), by improving the conditions of contraction to establish the e...