We define and analyze the notions of weak and sparse interaction between the subprocesses in a structured multivariate stochastic process.
The second language learner relies heavily on memory skills with sparse interaction, in contrast to the first language learner that can rely on environmental reinforcement and social interaction to learn words.
The sparse interaction and main effects of treatments were small and inconclusive.
Of note, because the coverage of the interactome is incomplete, many pathways have sparse interaction coverage, leading to fewer enriched gene sets detected by PIPA relative to HGA.
The NetGenerator approach aims to identify a set of model parameters which is optimal with respect to the given input data and the presumption of a sparse interaction matrix.
We focus on problems in which the interaction between the agents is sparse and contribute a new decision-theoretic model for decentralized sparse-interaction multiagent systems, Dec-SIMDPs, that explicitly distinguishes the situations in which the agents in the team must coordinate from those in which they can act independently.
γ-phenotype-based DrugTarget-CDKO GI map shows sparse genetic interactions.
Once three such subnetworks are computed, their nodes are coupled by sparse, weak interactions.
Thus we show that when reciprocity is possible, even a very sparse pairwise interaction network can sustain cooperation in very large groups.
A critical analysis of computational protein design with sparse residue interaction graphs.
Dissertation: "Novel Computational Protein Design Algorithms with Sparse Residue Interaction Graphs, Ensembles, and Mathematical Guarantees, and their Application to Antibody Design". Department of Computer Science, Duke University.
