Machine Learning Applications to Static Timing Analysis by Raslan, Waseem Mohamed

Subjects: “…Extended Current Source Model…”
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Metodologie van wiskundige modellering : vermydingsleer as gevallestudie by Conradie, Helena Susanna

Subjects: “…Learning -- Mathematical models…”
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Noncoherent MIMO codes for low-medium SNRs, and layered MIMO space-time coding for coherent and noncoherent receivers by ElMossallamy, Mohamed Ali

“…Wireless communication systems rely on training the receiver to learn the channel state information (CSI) to communicate information effectively. …”
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Towards an affective pedagogical model for teaching English language and literacy to migrant learners by Mafandala, Mbembi Joel

“…This study will benefit teachers in multilingual contexts as it takes into consideration the emotional difficulties that come with learning in a language that is not one's primary language, to understand learners' learning styles, and consequently to inform and adjust teaching strategies to fit their needs. …”
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Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models

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Two-way Node Popularity Model for Directed and Bipartite Networks

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Specialization by exclusion [Microfiche] : an approach to concept learning by Theron, Hendrik

Subjects: “…Mathematical models…”
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Reinforcement learning in the Minecraft gaming environment by Reynard, Matthew

Subjects: “…Reinforcement learning -- Mathematical models…”
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Inquiry-based learning patterns in large language model-driven learning environments: An exploratory study from Bloom’s perspective

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'n Teoretiese model vir die toepassing van self-gereguleerde leer met metakognitiewe betrokkenheid as 'n tweede-orde proses (Afrikaans)

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Comparative Reflection on Best Known Instructional Design Models: Notes from the Field

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Using Hybrid Machine learning Models for Stock Price Forecasting and Trading. by Khalil, Ahmed

“…The focus of this paper is to use four machine learning models to forecast next day stock prices and trade stocks accordingly. …”
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From statistical mechanics to machine learning: effective models for neural activity by Schonfeldt , Abram

“…We investigate this use of maximum entropy models and examine the population sizes and constraints that they require in order to learn nontrivial insights from finite data. …”
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Learning data-derived vehicle motion models for use in localisation and mapping

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Robust parameter estimation of finite mixture models with self-paced learning

Subjects: “…Gaussian Mixture model…”
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A remote sensing-machine learning framework for modelling forest health by Poona, Nitesh Keshavelal

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Machine learning models for mass appraisals: advancing valuations in the digital era by De Wet, Dominique

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The role of features in predictive deep learning models for auditory tuberculosis classification by Knight, Michael Sean

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Elaboration and empirical evaluation of the De Goede learning potential structural model by Burger, Richelle

Subjects: “…Learning potential structural model…”
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