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,...

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

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

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

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

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...

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...

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...

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

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...

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...

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

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...

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...

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...

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

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The...

Relaxed code-excited linear prediction (RCELP) is a method used in some advanced speech codecs. The RCELP algorithm does not attempt to match the original...

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

A TCP sequence prediction attack is an attempt to predict the sequence number used to identify the packets in a TCP connection, which can be used to counterfeit...

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...

estimate of a curve or function based on limited or noisy data. Similarly, a prediction band is used to represent the uncertainty about the value of a new data-point...

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