This paper describes a research on topic identification in a realworld customer service telephone conversations between an agent and a customer. Separate hidden spaces are considered for agents, customers and the combination of them. The purpose is to separate semantic constituents from the speaker types and their possible relations. Probabilities of hidden topic features are then used by separ...

quickpsy is a package to parametrically fit psychometric functions. In comparison with previous R packages, quickpsy was built to easily fit and plot data for multiple groups. Here, we describe the standard parametric model used to fit psychometric functions and the standard estimation of its parameters using maximum likelihood. We also provide examples of usage of quickpsy, including how allow...

Cluster Deletion and Cluster Editing ask to transform a graph by at most k edge deletions or edge edits, respectively, into a cluster graph, i.e., disjoint union of cliques. Equivalently, a cluster graph has no conflict triples, i.e., two incident edges without a transitive edge. We solve the two problems in time O∗(1.415k) and O∗(1.76k), respectively. These results round off our earlier work b...

A robust strategy for dynamic Language Model (LM) selection, based on topic recognition and switching between topic models, is proposed. It is effective because it relies on a small set of well trained topic−dependent LMs and on reliable topic recognition. By using perplexity as a performance measure of the LM switching model, a tangible reduction is observed with respect to the use of a single...

capital structure puzzle is a challenging issue in corporate finance. different researchers attempt to identify ways to determine optimized capital structure which minimizes firm’s cost of capital and maximizes its value, by proposing variety of theories. in line with forming new theories and introducing determinant variables, the absence of comprehensive research which simultaneously tests exi...