This paper describes the application of Dis tributional Clustering to document classi cation This approach clusters words into groups based on the distribution of class labels associated with each word Thus unlike some other unsupervised dimensionality reduction techniques such as Latent Semantic Indexing we are able to compress the feature space much more aggressively while still maintaining h...

Many real-life problems require a partial classi cation of the data. We use the term \partial classi cation" to describe the discovery of models that show characteristics of the data classes, but may not cover all classes and all examples of any given class. Complete classi cation may be infeasible or undesirable when there are a very large number of class attributes, most attributes values are...

Non-convergent cation ordering in the (Fe3O4)1-x(MgAl2O4)x solid solution was investigated using in-situ time-of-flight neutron powder diffraction. The approach to equilibrium in a sample with x = 0.75 was observed at 923 K by performing in-situ structure refinements at intervals of 5 min, and the ordering behavior was traced through the time-dependence of the lattice parameter, the cation-oxyg...

Current study represents the effect of the size and synthesis method on the cation distribution of cobalt ferrite nanoparticles and on the magnetic properties. The nanoferrites have been synthesized through sol-gel auto-combustion method using metal nitrates as precursor and citrate as fuel. In order to obtain the fine and agglomerated-free particles, we have used salt-assisted combustion react...

Nonvoltage-gated cation currents, which are activated following stimulation of phospholipase C (PLC), appear to be major modes for Ca2+ and Na+ entry in mammalian cells. The TRPC channels may mediate some of these conductances since their expression in vitro leads to PLC-dependent cation influx. We found that the TRPC3 protein was highly enriched in neurons of the central nervous system (CNS). ...

The asymptotic distribution of maximum likelihood estimators is derived for a class of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models. The result carries over to models for duration and realised volatility that use an exponential link function. A key feature of the model formulation is that the dynamics are driven by the score. Keywords: Duration models; g...

polybutadiene nanoparticles were synthesized via batch emulsion polymerization of butadiene in the presence of potassium persulfate, disproportionate rosinate potassium cation and t-dodecyl mercaptane as initiator, emulsifier and chain transfer agent, respectively. polymerization reaction was performed at different temperatures (60, 70 and 80 °c). conversion was measured at the various time int...

Predicting and understanding the cation distribution in spinels has been one of the most interesting problems in materials science. The present work investigates the effect of cation redistribution on the structural, electrical, optical and magnetic properties of mixed-valent inverse spinel NiCo2O4(NCO) thin films. It is observed that the films grown at low temperatures (T < 400 °C) exhibit met...

We are interested in making inference on the AR parameter in an AR(1) panel data model when the time-series dimension is …xed and the cross-section dimension is large. We consider a GMM estimator based on the second order moments of the observed variables. It turns out that when the AR parameter equals unity and certain restrictions apply to the other parameters in the model then local identi…c...

Empirical research with Markov regime-switching models often requires the researcher not only to estimate the model but also to test for the presence of more than one regime. Despite the need for both estimation and testing, methods of estimation are better understood than are methods of testing. We bridge this gap by explaining, in detail, how to apply the newest results in the theory of regim...