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Recently, the hybrid deep neural network (DNN)- hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model (GMM)-HMM. The performance improvement is partially attributed ...

Recent year, with the increasing of unhealthy diets which will threaten people's life due to the various resulted risks such as heart stroke, liver trouble and so on, the maintaining for healthy life has attracted much attention and then how to manage ...

We examine the effects of expanding a judged set of sentences with their duplicates from a corpus. Including new sentences that are exact duplicates of the previously judged sentences may allow for better estimation of performance metrics and enhance ...

State-of-the-art patch-based image representations involve a pooling operation that aggregates statistics computed from local descriptors. Standard pooling operations include sum- and max-pooling. Sum-pooling lacks discriminability because the resulting ...

The problem of adaptively selecting pooling regions for the classification of complex video events is considered. Complex events are defined as events composed of several characteristic behaviors, whose temporal configuration can change from sequence to ...

We address the problem of action recognition in unconstrained videos. We propose a novel content driven pooling that leverages space-time context while being robust toward global space-time transformations. Being robust to such transformations is of ...

The effect on multiskill call-center performance of pooling dependent call types is investigated. For this purpose, a copula-based modeling approach is used to provide multivariate models that take into account the call types' asymmetric dependence ...

The recent advances in high-throughput sequencing technologies bring the potential of a better characterization of the genetic variation in humans and other organisms. In many occasions, either by design or by necessity, the sequencing procedure is ...

We consider two generalizations of group testing: threshold group testing (introduced by Damaschke [11]) and majority group testing (a further generalization, including threshold group testing and a model introduced by Lebedev [20]).

We show that each ...

Lab-based evaluations typically assess the quality of a retrieval system with respect to its ability to retrieve documents that are relevant to the information need of an end user. In a real-time search task however users not only wish to retrieve the ...

Fruit and vegetable marketing organization the Greenery has experienced various governance structure changes, like horizontal merger, forward integration, and the emergence of grower associations. A multilateral incomplete contracting model is presented ...

In this paper, we provide a theoretical analysis of effects of applying different forecast diversification methods on the structure of the forecast error covariance matrices and decomposed forecast error components based on the bias-variance-Bayes error ...

Due to the small number of replicates in typical gene microarray experiments, the performance of statistical inference is often unsatisfactory. In this article, we present a scoring scheme, based on quantiles, that allows researchers to combine data ...

Motivated by the ease with which online customers can bid simultaneously in multiple auctions, we analyze a system with two competing auctioneers and three types of bidders: those dedicated to either of the two auctions and those that participate ...

A range of methods for measuring the effectiveness of information retrieval systems has been proposed. These are typically intended to provide a quantitative single-value summary of a document ranking relative to a query. However, many of these measures ...

The scope hypothesis in Information Retrieval (IR) states that a relationship exists between document length and relevance, such that the likelihood of relevance increases with document length. A number of empirical studies have provided statistical ...

We investigate the benefits of migrating from a call center, where all agents are pooled and customers are treated indifferently by any agent, toward a call center where customers are grouped into clusters with dedicated teams of agents. Each cluster is ...

Test collections are most useful when they are reusable, that is, when they can be reliably used to rank systems that did not contribute to the pools. Pooled relevance judgments for very large collections may not be reusable for two easons: they will be ...

Modern retrieval test collections are built through a process called pooling in which only a sample of the entire document set is judged for each topic. The idea behind pooling is to find enough relevant documents such that when unjudged documents are ...

This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning voting algorithm. It leads to smaller pools than classical pooling and thus ...