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their Davitamon brand name. The team name switched to Omega Pharma's Predictor brand name in 2007 and the Silence brand in 2008. From 2010 the team became...

In computer architecture, a branch predictor is a digital circuit that tries to guess which way a branch (e.g., an if–then–else structure) will go before...

Depending on the context, an independent variable is sometimes called a "predictor variable", "regressor", "covariate", "manipulated variable", "explanatory...

and losses with no reference to the victory margin. The other system, "Predictor," takes victory margin into account. For that system the difference in...

In computer architecture, a branch target predictor is the part of a processor that predicts the target, i.e., the address of the instruction that is...

In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These...

A director, also called an auxiliary predictor, is a mechanical or electronic computer that continuously calculates trigonometric firing solutions for...

indicates impending ovulation. LH can be detected by urinary ovulation predictor kits (OPK, also LH-kit) that are performed, typically daily, around the...

An economic indicator is a statistic about an economic activity. Economic indicators allow analysis of economic performance and predictions of future performance...

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

digital microprocessors. A predictor includes a short "island" track which just covers the width of the level crossing. A predictor circuit in the middle of...

Predictor@home was a volunteer computing project that used BOINC software to predict protein structure from protein sequence in the context of the 6th...

The Kerrison Predictor was one of the first fully automated anti-aircraft fire-control systems. It was used to automate the aiming of the British Army's...

In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...

In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory...

In numerical analysis, predictor–corrector methods belong to a class of algorithms designed to integrate ordinary differential equations – to find an...

electoral-vote.com. August 29, 2025. Retrieved 2025-08-30. "Electoral Vote Predictor archive from Nov. 2". Archived from the original on 2008-10-25. Retrieved...

Mehrotra's predictor–corrector method in optimization is a specific interior point method for linear programming. It was proposed in 1989 by Sanjay Mehrotra...

In regression analysis, an interval predictor model (IPM) is an approach to regression where bounds on the function to be approximated are obtained. This...

Structural and physical properties of DNA provide important constraints on the binding sites formed on surfaces of DNA-binding proteins. Characteristics...