Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Estimating different characteristics viz., size, cost, etc. of sofrware during different phases of software development is required to manage the resources effectively. Function p...
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Non-functional requirements (NFRs) pose unique challenges in estimating the effort it would take to implement them. This is mainly because of their unique nature; NFRs are subject...