Nitrogen is Not a ‘House of Cards’

Burnout's Prevalence Estimations: A House of Cards?

Named Entity Recognition as a House of Cards: Classifier Stacking

This paper presents a classifier stacking-based approach to the named entity recognition task (NER henceforth). Transformation-based learning (Brill, 1995), Snow (sparse network of winnows (Muñoz et al., 1999)) and a forward-backward algorithm are stacked (the output of one classifier is passed as input to the next classifier), yielding considerable improvement in performance. In addition, in a...

House of cards built one meter at a time

A physical law assumption is based upon a knowledge set extracted using observation and measurement techniques available at the time the assumption was made. An assumption can stifle scientific inquiry if it is allowed to become a protected paradigm, and thus, unchallengeable. Units of measure are a core element of physical law inquiry and an erroneous assumption used in selecting the base unit...

The House of Cards Is Falling: Why States Should Cooperate on Legal Gambling

INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200 R I. BACKGROUND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 R A. How States Legalize Gambling . . . . . . . . . . . . . . . . . . 203 R B. Early History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 R C. How Taxes Are Dist...

Variability in centred house-of-cards mutation models.

Convergence of variability in phenotypic models with balance between selection and mutation is analysed. The mutation assumed occurs with weak probability and brings down the evolutionary process built up by selection around the mean in the population. Gaussian approximations are used.