Publications related to Random forest

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT devices. This paper introduces a machine learning model based on oblique decision ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

Fabio Nobile, Matthieu Claude Martin, Panagiotis Tsilifis

In this paper, we present a multilevel Monte Carlo (MLMC) version of the Stochastic Gradient (SG) method for optimization under uncertainty, in order to tackle Optimal Control Problems (OCP) where the constraints are described in the form of PDEs with rand ...

MATHICSE2020

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

Pedestrians are arguably one of the most safety-critical road users to consider for autonomous vehicles in urban areas. In this paper, we address the problem of jointly detecting pedestrians and recognizing 32 pedestrian attributes. These encompass visual ...

IEEE2020

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Kshitij Sharma, Jennifer Kaitlyn Olsen

Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...

ASSOC COMPUTING MACHINERY2020

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic systolic ...

2020

A fast machine learning model for large-scale estimation of annual solar irradiation on rooftops

Roberto Castello, Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

Rooftop-mounted solar photovoltaics have shown to be a promising technology to provide clean electricity in urban areas. Several large-scale studies have thus been conducted in different countries and cities worldwide to estimate their PV potential for the ...

International Solar Energy Society ISES2020

Analysis and Visualisation of Decision Paths towards Reaching Environmental Impact Targets at Early-Design Stage

Sergi Aguacil Moreno, Thomas Bernard Paul Jusselme, Émilie Nault

Environmental impact objectives are commonly found in building performance labels and rating schemes. Anticipating a building’s impact from the conceptual design stage and identifying decisions that do not compromise its chances of reaching these targets i ...

2020

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Florent Gérard Krzakala, Jonathan Yuelin Dong, Ruben Elie Ohana

Reservoir Computing is a class of simple yet efficient Recurrent Neural Networks where internal weights are fixed at random and only a linear output layer is trained. In the large size limit, such random neural networks have a deep connection with kernel m ...

Curran Associates, Inc.2020

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Random forest

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

A fast machine learning model for large-scale estimation of annual solar irradiation on rooftops

Analysis and Visualisation of Decision Paths towards Reaching Environmental Impact Targets at Early-Design Stage

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Graph Chatbot

Chat with Graph Search

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Analysis and Visualisation of Decision Paths towards Reaching Environmental Impact Targets at Early-Design Stage

A fast machine learning model for large-scale estimation of annual solar irradiation on rooftops

Reservoir Computing meets Recurrent Kernels and Structured Transforms