Abstract. We present an improved version of random projections that takes advantage of marginal norms. Using a maximum likelihood estimator (MLE), marginconstrained random projecti...
Abstract. We describe in this paper an experimental setting for browsing and reading simultaneously multiple digital documents. An hemispherical visualization device is used to imm...
Abstract. We prove asymptotically optimal bounds on the Gaussian noise sensitivity of degree-d polynomial threshold functions. These bounds translate into optimal bounds on the Gau...
Abstract. Educational systems that model the user enable personalisation. Systems that open the model to the user to prompt reflection are increasingly common. These often offer a ...
Susan Bull, Inderdip Gakhal, Daniel Grundy, Matthe...
Abstract. We pose the problem of determining the rate of convergence at which AdaBoost minimizes exponential loss. Boosting is the problem of combining many "weak," high-...