Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
The main objective of the course is for students to be able to analyze problems in microeconomic theory at the beginning graduate level. Students successfully completing the course...
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
The field of algorithms for pairwisc biosequence similarity search is dominated by heuristic methods of high efficiency but uncertain sensitivity. One reason that more formal stri...
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...