Results 41 to 50 of about 424,586 (329)
Towards Better Interpretability in Deep Q-Networks
, 2018 Deep reinforcement learning techniques have demonstrated superior performance in a wide variety of environments. As improvements in training algorithms continue at a brisk pace, theoretical or empirical studies on understanding what these networks seem ...
Annasamy, Raghuram Mandyam +1 more
core +1 more source
Effects of chronic browsing on life‐history traits of an irruptive large herbivore population
Population Ecology, EarlyView.This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji +9 more
wiley +1 more source
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
Algorithms, 2023 Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data ...
Jinhong Wu +4 more
doaj +1 more source
, 2022 How do people make sense of works of art? And how do they write to make others see the same way? There are many guides to looking at art, histories of art history and art criticism, and accounts of various 'theories' and 'methods', but this book offers something very unlike the normal search for difference and division: it examines the general and ...
openaire +6 more sources
Population Ecology, EarlyView.This study examines the demographic dynamics of two seabird populations on Tromelin Island, 15 years after the eradication of brown rats. The results indicate that these populations are in good health and are expected to continue growing until breeding sites are saturated in about a century.
Merlène Saunier +6 more
wiley +1 more source
Entropy, 2021 The adaptation of deep learning models within safety-critical systems cannot rely only on good prediction performance but needs to provide interpretable and robust explanations for their decisions.
Domjan Barić +3 more
doaj +1 more source
Semantic Structure and Interpretability of Word Embeddings
, 2018 Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their state-of-the-art performances in many NLP tasks.
Cukur, Tolga +4 more
core +1 more source
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond [PDF]
arXiv, 2021 Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-box nature, it is often difficult to understand the prediction results of deep models.
arxiv
Analyzing Employee Attrition Using Explainable AI for Strategic HR Decision-Making
Mathematics, 2023 Employee attrition and high turnover have become critical challenges faced by various sectors in today’s competitive job market. In response to these pressing issues, organizations are increasingly turning to artificial intelligence (AI) to predict ...
Gabriel Marín Díaz +2 more
doaj +1 more source