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View all- Meyer L(2001)Aspects of complexity of probabilistic learning under monotonicity constraintsTheoretical Computer Science10.1016/S0304-3975(00)00273-5268:2(275-322)Online publication date: 17-Oct-2001
This paper is concerned with the problem of the delay-dependent robust stability of neutral systems with mixed delays and time-varying structured uncertainties. By considering the cross-terms with additional design parameters, a complete form of ...
This paper is concerned with the problem of delay-dependent asymptotic stability for neural networks with interval time-varying delay. A delay-partitioning approach is used in this paper, in which the delay interval is partitioned into multiple ...
In the setting of learning indexed families, probabilistic learning under monotonicity constraints is more powerful than deterministic learning under monotonicity constraints, even if the probability is close to 1, provided the learning machines are ...
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