James Tee,Desmond P Taylor
James Tee
Value [4][5] is typically modeled using a continuous representation (i.e., a Real number). A discrete representation of value has recently been postulated [6]. A quantized representation of probability in the brain was also posited and supp...
James Tee,Desmond P Taylor
James Tee
Conventional and current wisdom assumes that the brain represents probability as a continuous number to many decimal places. This assumption seems implausible given finite and scarce resources in the brain. Quantization is an information en...
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer (Invited Paper) [0.03%]
基于Phi-mixing系数的基因组相互作用网络推理及其在肺癌和乳腺癌中的应用（邀请论文）
Nitin Singh,Mehmet Eren Ahsen,Niharika Challapalli et al.
Nitin Singh et al.
Constructing gene interaction networks (GINs) from high-throughput gene expression data is an important and challenging problem in systems biology. Existing algorithms produce networks that either have undirected and unweighted edges, or el...
Abram Magner,Jarosław Duda,Wojciech Szpankowski et al.
Abram Magner et al.
Nanopore sequencers are emerging as promising new platforms for high-throughput sequencing. As with other technologies, sequencer errors pose a major challenge for their effective use. In this paper, we present a novel information theoretic...
Erick Chastain,Cameron Smith
Erick Chastain
Universal Semantic Communication (USC) is a theory that models communication among agents without the assumption of a fixed protocol. We demonstrate a connection, via a concept we refer to as process information, between a special case of U...