Results 51 to 60 of about 979,707 (169)
Comparative study of adenosine 3′‐pyrophosphokinase domains of MuF polymorphic toxins
With the ultimate goal of understanding the association of toxin‐immunity modules to temperate phages, we characterized toxins from three prophages and examined cross‐protection from immunity proteins. The toxins exhibit adenosine 3′‐pyrophosphokinase activity and are toxic in Escherichia coli.
Eloïse M. Paulet+6 more
wiley +1 more source
Verifiable Reinforcement Learning via Policy Extraction
While deep reinforcement learning has successfully solved many challenging control tasks, its real-world applicability has been limited by the inability to ensure the safety of learned policies. We propose an approach to verifiable reinforcement learning
Bastani, Osbert+2 more
core
Protein O‐glycosylation in the Bacteroidota phylum
Species of the Bacteroidota phylum exhibit a unique O‐glycosylation system. It modifies noncytoplasmic proteins on a specific amino acid motif with a shared glycan core but a species‐specific outer glycan. A locus of multiple glycosyltransferases responsible for the synthesis of the outer glycan has been identified.
Lonneke Hoffmanns+2 more
wiley +1 more source
A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors [PDF]
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses the XLE LFG parser and English grammar: two versions are presented, one ...
Foster, Jennifer+2 more
core
Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós+11 more
wiley +1 more source
Simplifying decision trees [PDF]
Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity and are therefore incomprehensible to experts.
openaire +2 more sources
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard+7 more
wiley +1 more source
Penggunaan Decision Tree Dengan ID3 Algorithm Untuk Mengenali Dokumen Beraksara Jawa [PDF]
This thesis\u27 goal is to let computer recognize Javanese letters. Before a computer is able to recognize Javanese letters, segmentation and feature extraction process is needed. After the features of Java letters that have been segmented obtained, then
Adipranata, R. (Rudy)+2 more
core
This paper describes experiments, on two domains, to investigate the effect of averaging over predictions of multiple decision trees, instead of using a single tree. Other authors have pointed out theoretical and commonsense reasons for preferring the multiple tree approach.
Chris Carter, Suk Wah Kwok
openaire +3 more sources
Bivariate decision trees [PDF]
Decision tree methods constitute an important and much used technique for classification problems. When such trees are used in a Datamining and Knowledge Discovery context, ease of interpretation of the resulting trees is an important requirement to be met.
Rob Potharst+2 more
openaire +3 more sources