If you explain something, you give details about it so that it can be understood. The head teacher should be able to explain the school's teaching policy. You say that you explain something to someone. Let me explain to you about Jackie. We explained everything to the police. Be Careful...
About Fit interpretable models. Explain blackbox machine learning. interpret.ml/docs Topics machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable...
That younger individuals perceive the world as moving slower than adults is a familiar phenomenon. Yet, it remains an open question why that is. Using event segmentation theory, electroencephalogram (EEG) beamforming and nonlinear causal relationship estimation using artificial neural network methods, we...
{Purifying interaction effects with the functional anova: An efficient algorithm for recovering identifiable additive models}, author={Lengerich, Benjamin and Tan, Sarah and Chang, Chun-Hao and Hooker, Giles and Caruana, Rich}, booktitle={International Conference on Artificial Intelligence and ...
That younger individuals perceive the world as moving slower than adults is a familiar phenomenon. Yet, it remains an open question why that is. Using event segmentation theory, electroencephalogram (EEG) beamforming and nonlinear causal relationship estimation using artificial neural network methods, we...
Unrolling recurrent networks across time. Artificial recurrent neural networks are typi- cally implemented with feedforward connections taking no time and recurrent connections taking a single time step, we refer to this as "engineering" time. In comparison, all connections in biolo...
We applied three machine learning algorithms: decision tree (DT), support vector machine (SVM) and artificial neural network (ANN). For each algorithm we automatically extract diagnosis rules. For formalising expert knowledge, we relied on the normative dataset (Invernizzi et al. in Ophthalmol ...
Provide an example of a program that contains an algorithm whose Big O is exponential. Clearly explain what n represents in your program. Make some assumptions about how long it would take to execute What is a neural network in artificial intelligence?
Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions, justify their reliability, and increase trust. However,... J Ambsdorf,A Munir,Y Wei,... 被引量: 0发表: 2022年 ExplAIn...
Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-driven models in predicting human behaviour, ...