Results 221 to 230 of about 7,869 (262)

On Generating All Optimal Monotone Classifications

2011 IEEE 11th International Conference on Data Mining, 2011
In many applications of data mining one knows beforehand that the response variable should be monotone (either increasing or decreasing) in the attributes. In ordinal classification, changing the class labels of a data set (relabeling) so that the data becomes monotone, is useful for at least two reasons.
Stegeman, L., Feelders, A.J.
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Monotonicity in Generalized Semi-Markov Processes

Mathematics of Operations Research, 1992
We establish stochastic monotonicity of the event epoch sequences of generalized semi-Markov processes through the structure of the generalized semi-Markov schemes on which they are based. Our main condition states, roughly, that the occurrence of more events in the short run never leads to the activation of less events in the long run.
Paul Glasserman, David D. Yao
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Centers of Monotone Generalized Complementarity Problems

Mathematics of Operations Research, 1997
Let C be a full dimensional, closed, pointed and convex cone in a finite dimensional real vector space ℰ with an inner product 〈x, y〉 of x, y ∈ ℰ, and ℳ a maximal monotone subset of ℰ × ℰ. This paper studies the existence and continuity of centers of the monotone generalized complementarity problem associated with C and ℳ: Find (x, y) ∈ ℳ ∩ (C × C ...
Masayuki Shida, Susumu Shindoh, Masakazu Kojima   +2 more
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Generalized gradients of monotone type

Nonlinear Analysis: Theory, Methods & Applications, 2004
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Generalizations of monotonicity

1994
\textit{E. T. Copson} [Proc. Edinb. Math. Soc., II. Ser. 17, 159-164 (1970; Zbl 0223.40001)], showed that a bounded positive sequence \(\{a_ n\}\) satisfying \(a_{n+r}\leq \sum_{s=1}^ r k_ s a_{n+r-s}\), \(k_ s>0\), \(k_ 1+ \cdots+ k_ r =1\) \(\forall n\) is necessarily convergent. \textit{C. Rossi} [Monotonia alle Copson e sue generalizzazioni.
FIOCCHI, Cristina, ZANELLI, Vanna
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Generalized monotonicity and generalized convexity

Journal of Optimization Theory and Applications, 1995
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Generalized Monotone Maps

2006
We first present nine kinds of (generalized) monotone maps and in case of gradient maps their counterpart of nine kinds of (generalized) convex functions. In addition we present topologically pseudomonotone maps. We then derive sufficient and/or necessary conditions for various kinds of generalized monotonicity for several subclasses of maps.
Nicolas Hadjisavvas, Siegfried Schaible
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Variational Inequalities with Generalized Monotone Operators

Mathematics of Operations Research, 1994
We investigate the variational inequality with pseudomonotone operators (in the sense of Karamardian) in Banach spaces. New existence results which extend many known results in infinite-dimensional spaces are derived under rather weak assumptions. New uniqueness results which also seem to be new even in finite-dimensional spaces are also derived.
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Pseudo-Monotonicity and Generalized Pseudo-Monotonicity

2021
Z. Naniewicz, P. D. Panagiotopoulos
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Nine Kinds of Monotone and Generalized Monotone Maps

1994
Monotonicity plays an important role in complementarity problems and variational inequality problems, like convexity in mathematical programming. Recently, seven kinds of monotone and generalized monotone maps were introduced; see Karamardian et al. (1990).
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