: A cooperative response model is proposed for interactive intelligent systems that recognizes user intentions and makes cooperative responses. Though many models developed so far ...
Over the past 15 years there has been increasing recognition that careful attention to the design of a system’s software architecture is critical to satisfying its requirements ...
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...