Whereas complexity and interpretability are very important factors in classifier selection, we concentrate on the maximization of generalization ability as the first step towards a more general handling of classifier selection.
The problem of maximization of the general objective function is posed as that of the optimal control of a variable-volume reactor with time-variant feed and effluent flow rates as the control variables.
Note that maximization of above term over is equivalent to maximizing over general, and henceforth, without loss of generality we consider the general probability distribution.
However, it is shown in the present paper that such an a priori assumption is not necessary since, in general, just the maximization of the gap between two consecutive natural frequencies leads to significant design periodicity.
Theory of the consumer and the implications of constrained maximization; uses of indirect utility and expenditure functions; theory of the producer, profit maximization, and cost minimization; behavior under uncertainty; partial equilibrium analysis and introduction to models of general equilibrium.
Theory of the consumer and the implications of constrained maximization; uses of indirect utility and expenditure functions; theory of the producer, profit maximization, and cost minimization; monotone comparative statics; behavior under uncertainty; partial equilibrium analysis and introduction to models of general equilibrium.
The first component of her master's research, also at Harvard, showed that some puzzling data on the distribution of the present tense in English is predicted by the sequential application of logical form and pragmatic maximization principles (e.g., presupposition maximization and general utterance-strength maximization).
However, for the maximization of the WSR, S-PPBG is in general suboptimal.
Note that maximization of above term over is equivalent to maximizing over general.
We formulate and solve the resulting ML maximization as general convex optimization problems.
