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In predictive coding theory, the brain is conceptualized as a prediction machine that constantly constructs and updates expectations of the sensory environment [1].
Together, bookies and bettors make up a prediction machine that's tough to outsmart.
Neurobiologists sometimes describe the brain as a prediction machine, or even a time machine: with its five senses, it is continuously observing its surroundings, laying down memories, and reviewing what just happened in order to forecast what might happen next.
Together, bookies and bettors make up a prediction machine that's tough to outsmart... View Article James Surowiecki is the author of "The Wisdom of Crowds" and writes about economics, business, and finance for the magazine.
Japanese Age Prediction Machine uses mosquito sounds to determine the age of your blind date [Newlaunches.com].
In this study we confine attention to ligand-based target prediction machine learning approaches, commonly referred to as target-fishing.
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Our brains evolved through the millennia into incredible prediction machines, designed to help us make sense of our environment.
If we can reconstruct phylogeny, such trees are much more useful as prediction machines (see examples below) because they parse homology and convergence, which phenograms cannot accomplish.
In evolutionary science, computers thus are prediction machines: they answer questions like "What would happen under these rules, given I started in this world with these starting conditions?" In our study of the evolutionary origins of risk aversion, for example, we could ask what happens to risk aversion if the total population was large, but composed of small groups with migration between them.
Such models may serve as good prediction machines but may provide no insights into the locations of important QTL or their gene actions.
Extensions of this property allowed the estimation of Variable Length Markov Models (VLMM) [ 26, 27] and time series forecasting by Fractal Prediction Machines (FPM) [ 28].
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