FIFO is perhaps the simplest scheduling discipline. For single-class FIFO, its delay guarantee performance has been extensively studied: The well-known results include a stochastic delay bound for GI/GI/1 by Kingman [2] and a deterministic delay bound for D/D/1 by Cruz [3]. However, for multiclass FIFO, few such results are available. To fill the gap, we prove delay bounds for multiclass FIFO i...

Concepts of temperature, heat, and entropy are extended to packet routing on multiclass wireless networks with particular challenges including network directionality, channel interference, channel capacity, time-varying topology, and stochastic arrivals. Applying thermodynamic principles in the framework of combinatorial geometry, a novel physics-oriented multiclass diffusion process is develop...

Multiclass learning problems involve nding a deenition for an unknown function f (x) whose range is a discrete set containing k > 2 values (i.e., k \classes"). The deenition is acquired by studying collections of training examples of the form hx i ; f (x i)i. Existing approaches to multiclass learning problems include direct application of multiclass algorithms such as the decision-tree algorit...

This paper presents real time information based energy management algorithms to reduce electricity cost and peak to average ratio (PAR) while preserving user comfort in a smart home. We categorize household appliances into thermostatically controlled (tc), user aware (ua), elastic (el), inelastic (iel) and regular (r) appliances/loads. An optimization problem is formulated to reduce electricity...

Various form features affect consumer preference regarding product design. It is, therefore, important that designers identify these critical form features to aid them in developing appealing products. However, the problems inherent in choosing product form features have not yet been intensively investigated. In this paper, an approach based on multiclass support vector machine recursive featur...

Given the recent evolution of therapeutic trends, the frequency and determinants of multiclass-resistant HIV infection in the modern combination highly active antiretroviral therapy (HAART) era are less well understood. In this study, the authors characterize the epidemiology of antiretroviral multiclass resistance among HAART-naı̈ve patients enrolled in a province-wide HAART distribution progra...

This paper proposes a new approach to improve multiclass classi ̄cation performance by employing Stacked Generalization structure and One-Against-One decomposition strategy. The proposed approach encodes the outputs of all pairwise classi ̄ers by implicitly embedding twoclass discriminative information in a probabilistic manner. The encoded outputs, called Meta Probability Codes (MPCs), are inter...