Likelihood
الأرجحية
دالة تقيس مدى ملاءمة المعلمات المقترحة للنموذج في تفسير البيانات المرصودة فعلياً.
Likelihood
Also translated asدالة الترجيح، معقولية البيانات
First appears in this corpus in: An Essay Towards Solving a Problem in the Doctrine of Chances (1763)
Appears in these papers
- An Essay Towards Solving a Problem in the Doctrine of Chances1763in the sky ✦
- Okapi at TREC-31994in the sky ✦
- BPR: Bayesian Personalized Ranking from Implicit Feedback2009in the sky ✦
- A Fast Learning Algorithm for Deep Belief Nets2006in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- Deep Contextualized Word Representations2018in the sky ✦
- Maximum Likelihood from Incomplete Data via the EM Algorithm1977in the sky ✦
- Flow Matching for Generative Modeling2023in the sky ✦
- Flow Matching for Generative Modeling2023in the sky ✦
- Gaussian Processes for Machine Learning2006in the sky ✦
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984in the sky ✦
- Improving Language Understanding by Generative Pre-Training2018in the sky ✦
- A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989in the sky ✦
- The Mathematics of Statistical Machine Translation: Parameter Estimation1993in the sky ✦
- A New Approach to Linear Filtering and Prediction Problems1960in the sky ✦
- On Information and Sufficiency1951in the sky ✦
- Latent Dirichlet Allocation2003in the sky ✦
- Latent Dirichlet Allocation2003in the sky ✦
- LoRA: Low-Rank Adaptation of Large Language Models2021in the sky ✦
- On the Mathematical Foundations of Theoretical Statistics1922in the sky ✦
- Natural Gradient Works Efficiently in Learning1998in the sky ✦
- Neural Ordinary Differential Equations2018in the sky ✦
- Variational Inference with Normalizing Flows2015in the sky ✦
- Pixel Recurrent Neural Networks2016in the sky ✦
- Pixel Recurrent Neural Networks2016in the sky ✦