An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Abstract Many attacks on encryption schemes rely on statistical considerations using plaintext/ciphertext pairs to find some information on the key. We provide here simple formula...
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
This study examines the publically available stories of selfidentified successful couples that met using the online dating services Match.com, eHarmony, or OkCupid. We enumerate f...
Christopher M. Mascaro, Rachel M. Magee, Sean P. G...
Background: Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on ...