With the rapid development of various data acquisition technologies, more and multimodal come into being. It is important to integrate different modalities which are with high-dimensional features for boosting final classification task. However, existing methods mainly focus on exploiting complementary information modalities, while ignoring learning confidence during fusion. In this paper, we p...

We propose an alternative approach to stochastic programming based on MonteCarlo sampling and stochastic gradient optimization. The procedure is by essence probabilistic and the computed solution is a random variable. The associated objective value is doubly random, since it depends on two outcomes: the event in the stochastic program and the randomized algorithm. We propose a solution concept ...

This paper proposes two principled methods to incorporate semantic information into word level confidence measurement. The first technique uses tag and arc probabilities obtained from a statistical classer and parser tree. The second technique uses a maximum entropy based semantic structured language model to use semantic structure of a sentence to assign semantic prohabilities to each word. Se...

This note proposes a method, which can be applied to searches and more in general to any cross section measurement, to maximize the analysis sensitivity.

Opinion dynamics focuses on the opinion evolution in a social community. Recently, some models of continuous opinion dynamics under bounded confidence were proposed by Deffuant and Krause, et al. In the literature, agents were generally assumed to have a homogeneous confidence level. This paper proposes an extended model for a group of agents with heterogeneous confidence levels. First, a socia...

This article introduces and evaluates several different word-level confidence measures for machine translation. These measures provide a method for labeling each word in an automatically generated translation as correct or incorrect. All approaches to confidence estimation presented here are based on word posterior probabilities. Different concepts of word posterior probabilities as well as dif...

This paper presents a word level confidence scoring technique based on a combination of multiple features extracted from the output of a phonetic classifier. The goal of this research was to develop a robust confidence measure based strictly on acoustic information. This research focused on methods for augmenting standard log likelihood ratio techniques with additional information to improve th...

Confidence helps to see life from the positive side and find new experiences. This self-confidence has not been well embedded in slow learner students. Slow students have low self-confidence. One of reasons for self-esteem is discrimination bullying at school. The purpose this study was analyze level uses a quantitative research approach. method used survey method. respondents were grade IV who...