Summary of Robust Regression with Ensembles Communicating Over Noisy Channels, by Yuval Ben-hur and Yuval Cassuto
Robust Regression with Ensembles Communicating over Noisy Channelsby Yuval Ben-Hur, Yuval CassutoFirst submitted to arxiv…
Summary of Building a Stable Classifier with the Inflated Argmax, by Jake A. Soloff et al.
Building a stable classifier with the inflated argmaxby Jake A. Soloff, Rina Foygel Barber, Rebecca…
Summary of Movie Revenue Prediction Using Machine Learning Models, by Vikranth Udandarao and Pratyush Gupta
Movie Revenue Prediction using Machine Learning Modelsby Vikranth Udandarao, Pratyush GuptaFirst submitted to arxiv on:…
Summary of Estimate the Building Height at a 10-meter Resolution Based on Sentinel Data, by Xin Yan
Estimate the building height at a 10-meter resolution based on Sentinel databy Xin YanFirst submitted…
Summary of A Replica Analysis Of Under-bagging, by Takashi Takahashi
A replica analysis of under-baggingby Takashi TakahashiFirst submitted to arxiv on: 15 Apr 2024CategoriesMain: Machine…
Summary of Bend: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion, by Jia Wei et al.
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusionby Jia Wei, Xingjun Zhang,…
Summary of Randomization Can Reduce Both Bias and Variance: a Case Study in Random Forests, by Brian Liu and Rahul Mazumder
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forestsby Brian Liu,…
Summary of An Algorithmic Framework For Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process, By Keito Tajima et al.
An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the…
Summary of Priorboost: An Adaptive Algorithm For Learning From Aggregate Responses, by Adel Javanmard et al.
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responsesby Adel Javanmard, Matthew Fahrbach, Vahab MirrokniFirst…
Summary of Modeling Freight Mode Choice Using Machine Learning Classifiers: a Comparative Study Using the Commodity Flow Survey (cfs) Data, by Majbah Uddin et al.
Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow…