Results 21 to 30 of about 388,111 (72)

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? [PDF]

Next basket recommendation (NBR) is a special type of sequential recommendation that is increasingly receiving attention. So far, most NBR studies have focused on optimizing the accuracy of the recommendation, whereas optimizing for beyond-accuracy metrics, e.g., item fairness and diversity remains largely unexplored. Recent studies into NBR have found
arxiv   +1 more source

Byte-based Language Identification with Deep Convolutional Networks [PDF]

arXiv, 2016
We report on our system for the shared task on discriminating between similar languages (DSL 2016). The system uses only byte representations in a deep residual network (ResNet). The system, named ResIdent, is trained only on the data released with the task (closed training). We obtain 84.88% accuracy on subtask A, 68.80% accuracy on subtask B1, and 69.
arxiv  

How Does Bayes Error Limit Probabilistic Robust Accuracy [PDF]

arXiv
Adversarial examples pose a security threat to many critical systems built on neural networks. Given that deterministic robustness often comes with significantly reduced accuracy, probabilistic robustness (i.e., the probability of having the same label with a vicinity is $\ge 1-\kappa$) has been proposed as a promising way of achieving robustness ...
arxiv  

Distribution of coliform organisms in milk and the accuracy of the presumptive coliform test [PDF]

, 1938
H. Barkworth, J. O. Irwin
openalex   +1 more source

Individuals, Crowds, and the Network Dynamics of Belief Accuracy [PDF]

arXiv
Does talking to others make people more accurate or less accurate on numeric estimates such as quantitative evaluations or probabilistic forecasts? Research on peer-to-peer communication suggests that discussion between people will usually improve belief accuracy, while research on social networks suggests that error can percolate through groups and ...
arxiv  

Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms [PDF]

arXiv
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations of solutions using machine learning techniques, prior research has not adequately investigated the impact of surrogate model accuracy on search performance and model ...
arxiv  

Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors [PDF]

arXiv
Adversarial examples pose a security threat to many critical systems built on neural networks. While certified training improves robustness, it also decreases accuracy noticeably. Despite various proposals for addressing this issue, the significant accuracy drop remains.
arxiv  

Ribonuclease II. Accuracy of measurement and shrinkage [PDF]

, 1955
B. S. Magdoff, Francis Crick
openalex   +1 more source

The accuracy of observation and of recollection in school children. [PDF]

, 1896
Shepherd Ivory Franz, H Houston
openalex   +1 more source

The Trade-off in Quantum Metrology: Excessive Precision Compromise Accuracy even with Unlimited Resources [PDF]

arXiv
Precision and accuracy, as two crucial criteria for quantum metrology, have previously lacked rigorous definitions and distinctions. In this paper, we provide a unified definition of precision and accuracy from the perspective of distinguishing neighboring quantum states. Using the quantum Cram\'er-Rao bound as a lower bound for precision, we find that
arxiv