. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x 1 Classification As Model of Human Categorization . . . . . . . 1 1.1 Review of Classification in Machine Learning and Cognitive Psychology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Semi-Supervised Learning Assumptions . . . . . . . . . . . 5 1.3 Translating Between ML and CP . . . . . . . . . . . . . . . 6 ...

despite advances in antiviral therapy over the past 2 decades, herpes simplex encephalitis (hse) remains a serious illness with significant risk of morbidity and mortality. hse includes a range of clinical presentations, from aseptic meningitis and fever to a severe rapidly progressive form with mental status changes (clouding of consciousness, confusion, disorientation, personality changes) an...

in order to evaluate intercropping of barley (hordeum vulgare) and vetch (vicia vilosa ler ssp. desycarpa), two field experiments were conducted on the farm of the university of tehran, karaj, iran in 2004 and 2005. a split plot experiment based on randomized complete block design (rcbd) with four replications was used in this study. nitrogen was the main factor (0, 45 and 90) and sub plot fact...

In this paper, we report our experiments in the TREC 2005 Robust Track. Our focus is to explore the use of a new axiomatic approach to information retrieval. Most existing retrieval models make the assumption that terms are independent of each other. Although such simplifying assumption has facilitated the construction of successful retrieval systems, the assumption is not true; words are relat...

In this paper we describe a framework of analyzing programs belonging to different TV program genres using Hidden Markov Models and pseudo-semantic features derived from video shots. Clustering using Gaussian mixture models is used to determine the order of the models. Results for initial genre classification experiments using two simple features derived from video shots are given.

In this paper, a new framework is proposed for clothing style recognition in natural scenes. Clothing region is first detected through the fusion of super-pixel segmentation, saliency detection and Gaussian Mixture Model (GMM). Next, a group of fashion attribute detectors are trained to get the likelihood of each attribute in the clothing image. Finally, the correlation matrix between clothing ...

We develop a personalized real-time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on their (temporal) lab tests and vital signs. Heterogeneity of the patients’ population is captured via a hierarchical latent class model; the proposed algorithm aims to “discover” the number of latent classes in the patients’ population, and t...

The motivating application for this research is the problem of recognizing a planar object consisting of points from a noisy observation of that object. Given is a planar Gaussian mixture model ρT (x) representing an object along with a noise model for the observation process (the template). Also given are points representing the observation of the object (the query). We propose a method to det...