An Orthogonal Least Squares (OLS) based feature selection method is proposed for both binomial and multinomial classification. The novel Squared Correlation Coefficient (SOCC) defined on Error Reduction Ratio (ERR) in OLS used as the ranking criterion. equivalence between canonical correlation coefficient, Fisher’s criterion, sum of SOCCs revealed, which unveils statistical implication ERR firs...

Forward-backward selection is one of the most basic and commonly-used feature selection algorithms available. It is also general and conceptually applicable to many different types of data. In this paper, we propose a heuristic that significantly improves its running time, while preserving predictive accuracy. The idea is to temporarily discard the variables that are conditionally independent w...

Cooperative communication is a fourth generation novel scheme promising significant capacity and multiplexing gain in wireless communication. This paper derives the carrier to noise interference ratio (CNIR) and average bit error rate (BER) for orthogonal frequency division multiplexing (OFDM) based amplify and forward (AF) and decode and forward (DF) scheme over Nakagami fading channels. Numer...