We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
Shlomo Argamon, Marin Saric, Sterling Stuart Stein
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
Cloud computing, social networking and information networks (for search, news feeds, etc) are driving interest in the deployment of large data centers. TCP is the dominant Layer 3...
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhaka...
This paper presents theoretical yet practical methodologies to model, assure and optimize the Reliability of Clockless Wave Pipeline. Clockless wave pipeline is a cutting-edge and...
T. Feng, Nohpill Park, Yong-Bin Kim, Fabrizio Lomb...