Despite the popularity of connectionist models in cognitive science, their performance can often be difficult to evaluate. Inspired by the geometric approach to statistical model ...
Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Ja...
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Background: Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been develop...
Multiprocessor systems present serious challenges in the design of real-time systems due to the wider variation of execution time of an instruction sequence compared to a uniproce...