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regression

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6

보존된 평가 기록

15

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lacava/ode-strogatz

공식 코드

Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/laic-ufmg/GSGP-Red

공식 코드

Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming

https://github.com/lancopku/dckd

공식 코드

Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction

https://github.com/langnico/GEDI-BDL

공식 코드

Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

https://github.com/langosco/neural-variational-gradient-descent

공식 코드

Neural Variational Gradient Descent

https://github.com/latimerk/kdPCA

공식 코드

Nonlinear demixed component analysis for neural population data as a low-rank kernel regression problem

https://github.com/laure-crochepierre/reinforcement-based-grammar-guided-symbolic-regression

공식 코드

A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression

https://github.com/laurenssluyterman/bootstrapped_deep_ensembles

공식 코드

Confident Neural Network Regression with Bootstrapped Deep Ensembles

https://github.com/laurenssluyterman/mean_variance_estimation

공식 코드

Optimal Training of Mean Variance Estimation Neural Networks

https://github.com/lawrencemmstewart/regression-as-classification

공식 코드

Regression as Classification: Influence of Task Formulation on Neural Network Features

https://github.com/lchristie/testing_for_equivariance

공식 코드

Testing for Geometric Invariance and Equivariance

https://github.com/ld-ing/plexicase

공식 코드

Probabilistic Lexicase Selection

https://github.com/ldpape/iols_delta

공식 코드

Dealing with Logs and Zeros in Regression Models

https://github.com/learninginvision/spu

공식 코드

Self-Paced Deep Regression Forests with Consideration of Ranking Fairness

https://github.com/learningmatter-mit/uq_singlenn

공식 코드

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

https://github.com/lee-group-cmu/cal-pit

공식 코드

Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)

https://github.com/leeyeehoo/GenNAS

공식 코드

Generic Neural Architecture Search via Regression

https://github.com/lei-ding07/conformal_quantile_fairness

공식 코드

Conformalized Fairness via Quantile Regression

https://github.com/leijiezhang/dsfr

공식 코드

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization

https://github.com/lejon/DiagonalOrthantLDA

공식 코드

DOLDA - a regularized supervised topic model for high-dimensional multi-class regression

https://github.com/leleluan/videodiscovery

공식 코드

Distilling Governing Laws and Source Input for Dynamical Systems from Videos

https://github.com/lemeln/nam

공식 코드

Neural Additive Models: Interpretable Machine Learning with Neural Nets

https://github.com/leoshine/Spherical_Regression

공식 코드

Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres

https://github.com/leslie-ch/equiv-nn-svm

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On the Equivalence between Neural Network and Support Vector Machine

https://github.com/levimcclenny/multimodal_transfer_learned_regression

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Deep Multimodal Transfer-Learned Regression in Data-Poor Domains

https://github.com/levymsn/cqa-crct

공식 코드

Classification-Regression for Chart Comprehension

https://github.com/lgondara/dptemporalensemble

공식 코드

Differentially Private Ensemble Classifiers for Data Streams

https://github.com/liangyuanhu/Variable-selection-w-missing-data

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Variable selection with missing data in both covariates and outcomes: Imputation and machine learning

https://github.com/liangzu/CCVMIN

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Linear Regression without Correspondences via Concave Minimization

https://github.com/liaorichard/snn-for-finger-velocity-ibmi

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An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface

https://github.com/ligaripash/KWtQ-face-alignment

공식 코드

Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment

https://github.com/lihualei71/ripw

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Design-Robust Two-Way-Fixed-Effects Regression For Panel Data

https://github.com/lilinhao/ShipDetection

공식 코드

A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

https://github.com/lilykoff/ml_walking_fingerprint

공식 코드

Walking fingerprinting

https://github.com/lindehesse/insightr-net

공식 코드

INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

https://github.com/linfeng-feng/uld

공식 코드

Eliminating Quantization Errors in Classification-Based Sound Source Localization

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