Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Predictive text — is an input technology most commonly used on mobile phones, and for accessibility. The technology allows words to be entered by a single keypress for each letter, as opposed to the multiple keypress approach used in the older generation of mobile … Wikipedia
Temporal difference learning — is a prediction method. It has been mostly used for solving the reinforcement learning problem. TD learning is a combination of Monte Carlo ideas and dynamic programming (DP) ideas. [2] TD resembles a Monte Carlo method because it learns by… … Wikipedia
Weka (machine learning) — Infobox Software name = Weka caption = Weka 3.5.5 with Explorer window open with Iris UCI dataset developer = University of Waikato latest release version = 3.4.13 (book), 3.5.8 (developer) latest release date = July 16, 2008 operating system =… … Wikipedia
Decision tree learning — This article is about decision trees in machine learning. For the use of the term in decision analysis, see Decision tree. Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model… … Wikipedia
Linear predictive coding — (LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. It is one of the most… … Wikipedia
Machine learning — is a subfield of artificial intelligence that is concerned with the design and development of algorithms and techniques that allow computers to learn . In general, there are two types of learning: inductive, and deductive. Inductive machine… … Wikipedia
Reinforcement learning — Inspired by related psychological theory, in computer science, reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long term reward .… … Wikipedia
Linear Predictive Coding — (LPC) ist ein in der Audio Signalverarbeitung und Sprachverarbeitung unter anderem für die Audiodatenkompression und Sprachanalyse verwendetes Verfahren, das mittels Audiosynthese arbeitet. Dabei wird der Stimmtrakt (des Menschen) modellhaft… … Deutsch Wikipedia
Quantitative structure-activity relationship — (QSAR) is the process by which chemical structure is quantitatively correlated with a well defined process, such as biological activity or chemical reactivity.For example, biological activity can be expressed quantitatively as in the… … Wikipedia
