A prediction (Latin præ-, "before," and dictum, "something said") or forecast is a statement about a future event or about future data. Predictions are...

Prediction markets, also known as betting markets, information markets, decision markets, idea futures or event derivatives, are open markets that enable...

This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling,...

Earthquake prediction is a branch of the science of seismology concerned with the specification of the time, location, and magnitude of future earthquakes...

Predictions of apocalyptic events that would result in the extinction of humanity, a collapse of civilization, or the destruction of the planet have been...

Biodegradability prediction is biologically inspired computing and attempts to predict biodegradability of anthropogenic materials in the environment....

Conformal prediction (CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions (prediction intervals)...

A prediction game is a game which allow users to guess at the outcome of future events. Prediction games are generally operated online and are free for...

Branch prediction and branch target prediction are often combined into the same circuitry. Static prediction is the simplest branch prediction technique...

structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary...

Prediction Company was founded in Santa Fe, New Mexico, USA, in March 1991 by J. Doyne Farmer, Norman Packard, and James McGill. The company used forecasting...

up prediction in Wiktionary, the free dictionary. A prediction is a statement or claim that a particular event will occur in the future. Prediction may...

The Book of Predictions was a book published in 1981 and written by David Wallechinsky, Amy Wallace, and Irving Wallace, the authors of The Book of Lists...

In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall...

Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide...

Linear prediction is a mathematical operation where future values of a discrete-time signal are estimated as a linear function of previous samples. In...

bits. Intra-frame prediction exploits spatial redundancy, i.e. correlation among pixels within one frame, by calculating prediction values through extrapolation...

Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though...

Climate prediction is a subset of numerical weather prediction dealing with generalized forecasts beyond the usual short-range and medium-range forecast...

theory, link prediction is the problem of predicting the existence of a link between two entities in a network. Examples of link prediction include predicting...

In computational biology, gene prediction or gene finding refers to the process of identifying the regions of genomic DNA that encode genes. This includes...

Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involves predicting structured...

(rather than inference), and using a model for prediction is referred to as inference (instead of prediction); see also predictive inference. Statistical...

prediction lore extends at least as far back as 300 BC, which was also around the same time ancient Indian astronomers developed weather-prediction methods...

Protein subcellular localization prediction (or just protein localization prediction) involves the prediction of where a protein resides in a cell, its...

Scenario planning, scenario thinking, scenario analysis, scenario prediction and the scenario method all describe a strategic planning method that some...

Prediction by partial matching (PPM) is an adaptive statistical data compression technique based on context modeling and prediction. PPM models use a...

The memory-prediction framework is a theory of brain function created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns...

In computer science, performance prediction means to estimate the execution time or other performance factors (such as cache misses) of a program on a...

"inter" part of the term refers to the use of Inter frame prediction. This kind of prediction tries to take advantage from temporal redundancy between...