Mining Measured Information from Text

no code implementations • 5 May 2015 • Arun S. Maiya, Dale Visser, Andrew Wan

We present an approach to extract measured information from text (e. g., a 1370 degrees C melting point, a BMI greater than 29. 9 kg/m^2 ).

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Approximate resilience, monotonicity, and the complexity of agnostic learning

no code implementations • 21 May 2014 • Dana Dachman-Soled, Vitaly Feldman, Li-Yang Tan, Andrew Wan, Karl Wimmer

We study the notion of $\mathit{approximate}$ $\mathit{resilience}$ of Boolean functions, where we say that $f$ is $\alpha$-approximately $d$-resilient if $f$ is $\alpha$-close to a $[-1, 1]$-valued $d$-resilient function in $\ell_1$ distance.