Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an intuitive general purpose technique to efficiently weight word scores before classification. Delta TFIDF is easy to compute, implement, and understand. We use Support Vector Machi...

We study the numerical solution of the Greeks of Asian options. In particular, we derive a close form solution of Δ of Asian geometric option and use this analytical form as a control to numerically calculate Δ of Asian arithmetic option, which is known to have no explicit close form solution. We implement our proposed numerical method and compare the standard error with other classical varianc...

‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification of continuous-time nonlinear systems in the presence of noises and uncertainties‎, ‎and we prove the global ...

This article presents a neural network simulation of the out-group homogeneity effect (OHE). The model is a feedback network with delta-rule learning that has been previously used to simulate other aspects of stereotype learning, as well as causal learning and reasoning, and human memory. This simulation achieves 2 goals: First, we show that the model could successfully simulate the OHE. We arg...

In this paper, we introduce δǫα∗ – a minimal coverage, real-time robotic search algorithm that yields a moderately aggressive search path with minimal backtracking. Search performance is bounded by a placing a combinatorial bound, ǫ and δ, on the maximum deviation from the theoretical shortest path and the probability at which further deviations can occur. Additionally, we formally define the n...

Over-sampling sigma-delta analog-to-digital converters (ADCs) are one of the key building blocks of state of the art wireless transceivers, especially with the voice communication system. This paper addresses a brief review for designing a Sigma-Delta modulator. A Genetic Algorithm (GA) based 2 order Sigma-Delta modulator design is proposed.

this paper illustrates the design and implementation of fain (filtering agent for internet) based on the gaia methodology and the auml notation. the proposed system generates and maintains a user profile by learning from examples that are judged and classified by the user during the training stage. a learning algorithm which is based on the baldwin effect that combines learning with evolution i...

Vertex coloring is one of the classic symmetry breaking problems studied in distributed com-puting. In this paper we present a new algorithm for (∆ + 1)-list coloring in the randomizedLOCAL model running in O(log n + Detd(poly logn)) time, where Detd(n ′) is the determinis-tic complexity of (deg+1)-list coloring (v’s palette has size deg(v) + 1) onn′-vertex graphs.This impro...

This paper investigates the dynamic selection of an appropriate threshold for basic Send-on-Delta (SoD) sampling strategies, given an available transmission rate to reduce the signal tracking-error. The paper formulates the error-reduction principle and proposes an algorithm that calculates, in real time, the amplitude threshold value (also called delta value) for a desired mean transmission ra...

in this paper, an intelligent controller is applied to control omni-directional robots motion. first, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named lolimot. then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. this emotional lea...