Model

النموذج

الهيكل الرياضي الذي يمثل ما تعلمته الخوارزمية من البيانات بعد تدريبها.

Model

Also translated asالنموذج الحوسبي، الهيكل الرياضي

First appears in this corpus in: Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares) (1805)

Appears in these papers

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Intriguing Properties of Neural Networks2014 in the sky ✦
AI Safety via Debate2018 in the sky ✦
Practical Bayesian Optimization of Machine Learning Algorithms2012 in the sky ✦
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017 in the sky ✦
Neural Networks and the Bias/Variance Dilemma1992 in the sky ✦
BLEU: A Method for Automatic Evaluation of Machine Translation2002 in the sky ✦
BPR: Bayesian Personalized Ranking from Implicit Feedback2009 in the sky ✦
C4.5: Programs for Machine Learning1993 in the sky ✦
Microsoft COCO: Common Objects in Context2014 in the sky ✦
Concrete Problems in AI Safety2016 in the sky ✦
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks2017 in the sky ✦
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016 in the sky ✦
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015 in the sky ✦
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning2025 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 ✦
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017 in the sky ✦
Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019 in the sky ✦
Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019 in the sky ✦
ELIZA — A Computer Program for the Study of Natural Language Communication1966 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Fast R-CNN2015 in the sky ✦
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks2015 in the sky ✦
Enriching Word Vectors with Subword Information2017 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 ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984 in the sky ✦
GloVe: Global Vectors for Word Representation2014 in the sky ✦
Glow: Generative Flow with Invertible 1×1 Convolutions2018 in the sky ✦
Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
Language Models Are Unsupervised Multitask Learners2019 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017 in the sky ✦
On the Difficulty of Training Recurrent Neural Networks2013 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling2014 in the sky ✦
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015 in the sky ✦
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989 in the sky ✦
Neural Networks and Physical Systems with Emergent Collective Computational Abilities1982 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 ✦
The Mathematics of Statistical Machine Translation: Parameter Estimation1993 in the sky ✦
Curiosity-Driven Exploration by Self-Supervised Prediction2017 in the sky ✦
Induction of Decision Trees1986 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 ✦
A New Approach to Linear Filtering and Prediction Problems1960 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
Regression Shrinkage and Selection via the Lasso1996 in the sky ✦
Latent Dirichlet Allocation2003 in the sky ✦
Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares)1805 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 ✦
Matrix Factorization Techniques for Recommender Systems2009 in the sky ✦
On the Mathematical Foundations of Theoretical Statistics1922 in the sky ✦
Natural Gradient Works Efficiently in Learning1998 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
No Free Lunch Theorems for Optimization1997 in the sky ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
Random Features for Large-Scale Kernel Machines2007 in the sky ✦
Random Forests2001 in the sky ✦
Ridge Regression: Biased Estimation for Nonorthogonal Problems1970 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 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 ✦
Support-Vector Networks1995 in the sky ✦
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities1971 in the sky ✦
An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale2020 in the sky ✦