Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
: We propose a domain-based classification method to predict protein-protein interactions using probabilities of putative interacting domain pairs derived from both experimentally-...
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...