Predictive Coding and Control

Quality Control for predictive coding in eDiscovery

Predictive coding.

Predictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons. Starting with the hypothesis of efficient coding as a design principle ...

Predictive Coding Defensibility: The Symantec Transparent Predictive Coding Workflow

Predictive coding is one of the most promising technologies to reduce the high cost of review by improving the efficiency of the review process. Limitations of available technology to provide a repeatable and well-defined predictive coding workflow have led to questions of its defensibility in court, and slow acceptance within legal departments. Symantec Transparent Predictive Coding provides a...

Predictive coding, precision and synchrony.

Abstract Gotts, Chow and Martin provide a very nice review of repetition priming and suppression that reaches a compelling conclusion-we need to look more closely at synchronization in learning and priming. Indeed, current modeling work focuses on this issue-namely, the dynamic causal modeling of electrophysiological responses to address the role of synchrony in Bayesian explaining away. This c...

Deep Predictive Coding Networks

The quality of data representation in deep learning methods is directly related to the prior model imposed on the representations; however, generally used fixed priors are not capable of adjusting to the context in the data. To address this issue, we propose deep predictive coding networks, a hierarchical generative model that empirically alters priors on the latent representations in a dynamic...