Feature

ميزة / سمة

الخاصية أو المتغير المستقل داخل البيانات والذي يساعد النموذج في اتخاذ القرارات.

Feature

Also translated asالخاصية، المتغير الوصفي، السمات، سمات

First appears in this corpus in: The Organization of Behavior: A Neuropsychological Theory (1949)

Appears in these papers

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997 in the sky ✦
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Intriguing Properties of Neural Networks2014 in the sky ✦
Highly Accurate Protein Structure Prediction with AlphaFold2021 in the sky ✦
Mastering the Game of Go Without Human Knowledge2017 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play2018 in the sky ✦
Bagging Predictors1996 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
A Computational Approach to Edge Detection1986 in the sky ✦
A Computational Approach to Edge Detection1986 in the sky ✦
Dynamic Routing Between Capsules2017 in the sky ✦
Classification and Regression Trees1984 in the sky ✦
Learning Transferable Visual Models from Natural Language Supervision2021 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Representation Learning with Contrastive Predictive Coding2018 in the sky ✦
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
Continuous Control with Deep Reinforcement Learning2015 in the sky ✦
Reducing the Dimensionality of Data with Neural Networks2006 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 in the sky ✦
Deformable Convolutional Networks2017 in the sky ✦
Extracting and Composing Robust Features with Denoising Autoencoders2008 in the sky ✦
Densely Connected Convolutional Networks2017 in the sky ✦
K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017 in the sky ✦
Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014 in the sky ✦
Face Recognition Using Eigenfaces1991 in the sky ✦
Fast R-CNN2015 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 in the sky ✦
Explaining and Harnessing Adversarial Examples2015 in the sky ✦
Graph Attention Networks2018 in the sky ✦
Gaussian Processes for Machine Learning2006 in the sky ✦
Semi-Supervised Classification with Graph Convolutional Networks2017 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017 in the sky ✦
Greedy Function Approximation: A Gradient Boosting Machine2001 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015 in the sky ✦
The Organization of Behavior: A Neuropsychological Theory1949 in the sky ✦
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989 in the sky ✦
Histograms of Oriented Gradients for Human Detection2005 in the sky ✦
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018 in the sky ✦
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017 in the sky ✦
Curiosity-Driven Exploration by Self-Supervised Prediction2017 in the sky ✦
ImageNet: A Large-Scale Hierarchical Image Database2009 in the sky ✦
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures2018 in the sky ✦
Isolation Forest2008 in the sky ✦
Regression Shrinkage and Selection via the Lasso1996 in the sky ✦
LightGBM: A Highly Efficient Gradient Boosting Decision Tree2017 in the sky ✦
"Why Should I Trust You?": Explaining the Predictions of Any Classifier2016 in the sky ✦
Visual Instruction Tuning2023 in the sky ✦
The Regression Analysis of Binary Sequences1958 in the sky ✦
LoRA: Low-Rank Adaptation of Large Language Models2021 in the sky ✦
Masked Autoencoders Are Scalable Vision Learners2022 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980 in the sky ✦
A Theory of the Learnable1984 in the sky ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
Perceptrons: An Introduction to Computational Geometry1969 in the sky ✦
PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018 in the sky ✦
Random Forests2001 in the sky ✦
Rectified Linear Units Improve Restricted Boltzmann Machines2010 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012 in the sky ✦
Some Studies in Machine Learning Using the Game of Checkers1959 in the sky ✦
Some Studies in Machine Learning Using the Game of Checkers1959 in the sky ✦
Scaling Laws for Neural Language Models2020 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Distinctive Image Features from Scale-Invariant Keypoints2004 in the sky ✦
A Simple Framework for Contrastive Learning of Visual Representations2020 in the sky ✦
Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996 in the sky ✦
Spatial Transformer Networks2015 in the sky ✦
SQuAD: 100,000+ Questions for Machine Comprehension of Text2016 in the sky ✦
Support-Vector Networks1995 in the sky ✦
Temporal Difference Learning and TD-Gammon1995 in the sky ✦
Rapid Object Detection Using a Boosted Cascade of Simple Features2001 in the sky ✦
XGBoost: A Scalable Tree Boosting System2016 in the sky ✦
You Only Look Once: Unified, Real-Time Object Detection2015 in the sky ✦