專案描述

Possibly numerical stable generic predictor on discrete Lebesgue measurable expectation value. Discrete Lebesgue measurable condition needs deterministic input on the range invariant defined (invariant might be categorized including 0 vector).

If original stream is Riemann measurable in discrete meaning, we get better result by applying pnext directly.

Every predictor has its jammer. This predictor produces 3 choices, if we make linear composite them even in adaptive way, they can be jammed.

System Requirements

System requirement is not defined

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