In recent years, deep learning (DL) has achieved impressive successes in many application domains, including Handwritten-Text Recognition. However, DL methods demand a long training process and huge amount of human-based labeled data. To address these issues, we explore several label-free heuristics for detecting the early-stopping point convolutional-neural networks: (1) Cumulative Distributio...

An intensity collapse stopping criterion is determined in the approximation of nonlinear Schrödinger equation for problem self-focusing high-power femtosecond laser radiation an optical medium. Using propagation a pulse air as example, it shown that stops when role diffraction increases due to decrease beam radius, and this occurs not at point, but segment before focus, where self-phase modulat...

Existing reinforcement learning paradigms proposed in the literature are guided by two performance criteria; namely: the expected cumulativereward, and the average reward criteria. Both of these criteria assume an inherently present cumulative or additivity of the rewards. However, such inherent cumulative of the rewards is not a definite necessity in some contexts. Two possible scenarios are p...

This work examines the problem of sequential detection of a change in the drift of a Brownian motion in the case of two-sided alternatives. Traditionally, 2-CUSUM stopping rules have been used for this problem due to their asymptotically optimal character as the mean time between false alarms tends to ∞. In particular, attention has focused on 2-CUSUM harmonic mean rules due to the simplicity o...

A key issue for the realization of the smart grid vision is the implementation of effective demand-side management. One possible approach involves exposing dynamic energy prices to end-users. In this paper, we consider a resulting problem on the user’s side: how to adaptively heat a home given dynamic prices. The user faces the challenge of having to react to dynamic prices in real time, tradin...

A multi-source quickest detection problem is considered. Assume there are two independent Poisson processes X and X with disorder times θ1 and θ2, respectively; that is, the intensities of X and X change at random unobservable times θ1 and θ2, respectively. θ1 and θ2 are independent of each other and are exponentially distributed. Define θ , θ1 ∧ θ2 = min{θ1, θ2} . For any stopping time τ that ...

We consider the discretionary stopping problem that aims at maximising the performance criterion Ex [ e R τ 0 sg(Xτ )1{τ<∞} ] over all stopping times τ , where X is a general one-dimensional positive Itô diffusion, r is a strictly positive function and g is a given payoff function. This optimal stopping problem has several applications in mathematical finance and economics. These include the pr...

This work examines the problem of sequential detection of a change in the drift of a Brownian motion in the case of two-sided alternatives. Applications to real life situations in which two-sided changes can occur are discussed. Traditionally, 2-CUSUM stopping rules have been used for this problem due to their asymptotically optimal character as the mean time between false alarms tends to $\inf...

This paper presents a simple and effective method for approximate indexing of instances for instance based learning. The method uses an interval tree to determine a good starting search point for the nearest neighbor. The search stops when an early stopping criterion is met. The method proved to be very effective especially when only the first nearest neighbor is required. Keywords—Instance bas...