- naive model
- прогн. модель с недостаточной информацией
Англо-русский словарь по исследованиям и ноу-хау. Е.Г. Коваленк. 2015.
Англо-русский словарь по исследованиям и ноу-хау. Е.Г. Коваленк. 2015.
Naïve (song) — Naïve Single by The Kooks from the album Inside In/Inside Out Released 1 Apri … Wikipedia
Naïve physics — or folk physics is the untrained human perception of basic physical phenomena. In the field of artificial intelligence the study of naïve physics is a part of the effort to formalize the common knowledge of human beings. Many ideas of folk… … Wikipedia
Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… … Wikipedia
Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… … Wikipedia
Multiple Drafts Model — Daniel Dennett s Multiple Drafts Model of Consciousness is a physicalist theory of consciousness based upon cognitivism, which views the mind in terms of information processing. The theory is described in depth in his book, Consciousness… … Wikipedia
Multiple drafts model — Daniel Dennett s multiple drafts model of consciousness is a physicalist theory of consciousness based upon cognitivism, which views the mind in terms of information processing. The theory is described in depth in his book, Consciousness… … Wikipedia
Bag of words model — The bag of words model is a simplifying assumption used in natural language processing and information retrieval. In this model, a text (such as a sentence or a document) is represented as an unordered collection of words, disregarding grammar… … Wikipedia
Generative model — In statistics, a generative model is a model for randomly generating observed data, typically given some hidden parameters. It specifies a joint probability distribution over observation and label sequences. Generative models are used in machine… … Wikipedia
Stages of growth model — The stages of growth model is a theoretical model for the growth of information technology (IT) in a business or similar organization. It was developed by Richard L. Nolan during the 1970s, and published by him in the Harvard Business Review.[1]… … Wikipedia
Predictive Model Markup Language — The Predictive Model Markup Language (PMML) is an XML based language developed by the Data Mining Group (DMG) which provides a way for applications to define statistical and data mining models and to share models between PMML compliant… … Wikipedia
Hierarchical Bayes model — The hierarchical Bayes method is one of the most important topics in modern Bayesian analysis. It is a powerful tool for expressing rich statistical models that more fully reflect a given problem than a simpler model could. Given data x,! and… … Wikipedia