To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...
In a recent InfoWorld article, I introduced the concept of the Agent Tier — a runtime architecture that separates ...
Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...
Abstract: Machine learning with small datasets presents well-known challenges, including overfitting and unreliable estimates. While fuzzy logic provides a framework for handling uncertainty, existing ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...
ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results