Long branch attraction is a problem that afflicts phylogenetic methods and a procedure to detect a data set suffering from this problem is the long branch extraction method[1]. This method has been well cited and used by many authors for their analysis but no strong validation has been performed as to its accuracy. We performed such an analysis by an extensive search of the branch length search...

Any modern organization hoping to retain a competitive advantage must be capable of integrating knowledge. Recent studies have explored various factors that may affect knowledge integration in information systems development (ISD) projects. Although diversity within an ISD team has been found to significantly reduce knowledge resource risks, it has also been found to lead to conflict which may ...

This paper presents lexical attraction models of language, in which the only explicitly represented linguistic knowledge is the likelihood of pairwise relations between words. This is in contrast with models that represent linguistic knowledge in terms of a lexicon, which assigns categories to each word, and a grammar, which expresses possible combinations in terms of these categories. The word...

We consider the problem of nonlinear system identification when prior knowledge is available on region attraction (ROA) an equilibrium point. propose method in form optimization problem, minimizing fitting error and guaranteeing desired stability property. The approached by joint dynamics a Lyapunov function verifying In this setting, hypothesis set reproducing kernel Hilbert space, with respec...

This work has been motivated by two long term goals: to understand how humans learn language and to build programs that can understand language. Using a representation that makes the relevant features explicit is a prerequisite for successful learning and understanding. Therefore, I chose to represent relations between individual words explicitly in my model. Lexical attraction is defined as th...

Our branch predictor proposed for the Championship Branch Prediction (CBP) contest is a hybrid/mutation of many different ideas previously proposed in the literature, combined with a few new techniques. The mix of traces requires the predictor to handle both capacity (large tables) and deep correlation extraction (long branch histories), both made difficult by the relatively small hardware budg...