Background Malignant cerebral edema (MCE) is a life-threatening complication of large hemisphere infarction (LHI). Therefore, fast, accurate, and convenient tool for predicting MCE can guide triage services facilitate shared decision-making. In this study, we aimed to develop validate nomogram the early prediction risk in acute LHI involving anterior circulation understand potential mechanism M...

Large-margin discriminative training of hidden Markov models has received significant attention recently. A natural and interesting question is whether the existing discriminative training algorithms can be extended directly to embed the concept of margin. In this paper, we give this question an affirmative answer by showing that the sigmoid bias in the conventional minimum classification error...

Abstract The magnetocaloric effect (MCE) of Ni 0.4 Cu 0.2 Zn Fe 2- x Dy O 4 ( = 0.02, 0.03, and 0.04) nanoferrites is simulated using a phenomenological model. analysis indicates that the MCE strongly influenced by content in both conventional inverse MCE. For MCE, full-width at half-maximum $$\delta {\text{T}}_{{{\text{FWHM}}}}$$ <mml:m...

BACKGROUND Since myocardial blood flow changes dynamically after reperfusion and since both hyperemia and impairment in microvascular function exist within the acutely reperfused bed, we sought to investigate the role of myocardial contrast echocardiography (MCE) in (1) defining the temporal variability in perfusion patterns after reflow and relating these to microsphere-derived blood flow; (2)...

Multi-car elevator (MCE for short) systems have been receiving increasing attention these days. An MCE has two or more cars in one shaft. It is difficult to control MCEs by using algorithms developed for single-car elevator systems, because MCEs need to avoid collision of the cars of the same shaft. In this paper, we propose an algorithm to control MCE systems, and show the effectiveness of our...

BACKGROUND Distinguishing ischemic from nonischemic origin in patients presenting with acute heart failure (AHF) not resulting from acute myocardial infarction has both therapeutic and prognostic implications. The aim of the study was to assess whether myocardial contrast echocardiography (MCE) can identify underlying coronary artery disease (CAD) as the cause of AHF. METHODS AND RESULTS Fift...

This paper evaluates the application of the Minimum Classification Error (MCE) training to online-handwritten text recognition based on Hidden Markov Models. We describe an allograph-based, character level MCE training aimed at minimizing the character error rate while enabling flexibility in writing style. Experiments on a writer-independent discrete character recognition task covering all alp...

Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. One most popular technique is minimum classification error (MCE) training, with the objective function closely related to the empirical error rate and with the optimization method based traditionally on gradient descent. In this paper, we provide a new look at the MCE ...

We propose a deterministic annealing (DA) algorithm to design classifiers based on continuous observation hidden Markov models. The algorithm belongs to the class of minimum classification error (MCE) techniques that are known to outperform maximum likelihood (ML) design. Most MCE methods smooth the piecewise constant classification error cost to facilitate the use of local descent optimization...