Results 21 to 30 of about 636,992 (262)
Adaptive Control with Approximated Policy Search Approach
ITB Journal of Engineering Science, 2010 Most of existing adaptive control schemes are designed to minimize error between plant state and goal state despite the fact that executing actions that are predicted to result in smaller errors only can mislead to non-goal states. We develop an adaptive
Agus Naba
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Adapting Fairness Interventions to Missing Values
Advances in Neural Information Processing Systems 36, 2023 Missing values in real-world data pose a significant and unique challenge to algorithmic fairness. Different demographic groups may be unequally affected by missing data, and the standard procedure for handling missing values where first data is imputed, then the imputed data is used for classification -- a procedure referred to as "impute-then ...
Raymond Feng +2 more
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Design Principles for Neurorobotics
Frontiers in Neurorobotics, 2022 In their book “How the Body Shapes the Way We Think: A New View of Intelligence,” Pfeifer and Bongard put forth an embodied approach to cognition. Because of this position, many of their robot examples demonstrated “intelligent” behavior despite limited ...
Jeffrey L. Krichmar +2 more
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, 2021 94 pages ; The traditional notion of architecture as a mostly static condition is being increasingly challenged by the ever- accelerating pace of change in the modern world. Architecture that cannot accommodate change comes to be underused, demolished, and replaced with new construction, thus contributing to an unsustainable cycle of material ...
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Adaptation and Systems of Cultural Value [PDF]
, 2017 Chapter ...
Kennedy-Karpat, Colleen, Sandberg, E.
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The adaptive dynamics of function-valued traits [PDF]
Journal of Theoretical Biology, 2006 This study extends the framework of adaptive dynamics to function-valued traits. Such adaptive traits naturally arise in a great variety of settings: variable or heterogeneous environments, age-structured populations, phenotypic plasticity, patterns of growth and form, resource gradients, and in many other areas of evolutionary ecology.
Dieckmann, U., Heino, M., Parvinen, K.
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Threshold Value Estimation Using Adaptive Two-Stage Plans in R
Journal of Statistical Software, 2015 This paper introduces the R package twostageTE for estimation of an inverse regression function at a given point when one can sample an explanatory covariate at different values and measure the corresponding responses.
Shawn Mankad +2 more
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Fast contrast enhancement by adaptive pixel value stretching
International Journal of Distributed Sensor Networks, 2018 In this article, we propose a fast and effective method for digital image contrast enhancement. The gray-level dynamic range of contrast-distorted images is extended maximally via adaptive pixel value stretching.
Gang Cao +3 more
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IEEE Access, 2018 Reinforcement learning (RL) is an important machine learning paradigm that can be used for learning from the data obtained by the human-computer interface and the interaction in human-centered smart systems. One of the essential problems in RL algorithms
Dazi Li +3 more
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Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators
IEEE Access, 2020 Of numerous proposals for weakening the attribute independence assumption of Naive Bayes, averaged one-dependence estimators (AODE) learns by extrapolation from marginal to full-multivariate probability distributions, and has demonstrated reasonable ...
Limin Wang +3 more
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