incremence

Etymology
Alteration of the noun of action to form a noun of quality, on the pattern of.

Noun

 * 1)  Incremental growth.
 * 2) * 1969: Egon Diczfalusy (editor), Immunoassay of gonadotrophins: Karolinska Symposia on Research Methods in Reproductive Endocrinology. Transactions of the first Symposium held in Stockholm on September 23–25, 1969, page 358 (Periodica)
 * If you give a small glucose load to 30 different people and do not allow for the fact that their basal blood sugars are all different, you may not see a significant rise in the mean blood sugar. Have you corrected your curves and tried to do these plots in terms of incremence and decremence from some starting point?
 * 1)  Incremental rate.
 * 2) * 1955: Merger of Naval Supply Activities in the San Pedro-Long Beach Area: Hearing Before a Subcommittee of the Committee on Government Operations, House of Representatives, Eighty-fourth Congress, First Session. September 15, 1955, issue 22, page 105 〃 (United States Government Printing Office)
 * The Navy has programed over an incremence of 3 or 4 fiscal years, corrective measures in dikes and walls to protect their investment in this shipyard.
 * 1)  Division into increments.
 * 2) * 1998: Françoise Fogelman-Soulié (editor) and Patrick Gallinari (editor), Industrial Applications of Neural Networks, page 429 (World Scientific ; ISBN 9789810231750, 981023175X)
 * The generalized preprocessing perceptron, ¹ as a function from [0, 1] ⁿ to R can be written as y = Φni=1φi (wi, gi (xi)) where xi are the inputs, gi is in the preprocessing layer, wi represents the uncertainty for the conclusion from xi to the output y, φi (wi, si) represents the semantics of implication xi →w i  y, and Φ corresponds to a logical disjunction that calculates an incremence of evidence. Typically, Φ has a greater function, and is an assembly of co-t-norms.
 * 1)  Division into increments.
 * 2) * 1998: Françoise Fogelman-Soulié (editor) and Patrick Gallinari (editor), Industrial Applications of Neural Networks, page 429 (World Scientific ; ISBN 9789810231750, 981023175X)
 * The generalized preprocessing perceptron, ¹ as a function from [0, 1] ⁿ to R can be written as y = Φni=1φi (wi, gi (xi)) where xi are the inputs, gi is in the preprocessing layer, wi represents the uncertainty for the conclusion from xi to the output y, φi (wi, si) represents the semantics of implication xi →w i  y, and Φ corresponds to a logical disjunction that calculates an incremence of evidence. Typically, Φ has a greater function, and is an assembly of co-t-norms.

Related terms

 * incremental →
 * incrementalism
 * incrementalist
 * increment borer
 * increment boring
 * Method of Increments
 * Method of Increments