vol. 6, no. 1, 2014, ser. 66/3     extended abstract   explaining the relationship indices of the performance evaluation and rank performance with the growth of the companies   m. afshar                                          r. zamani amugheen molana higher education, abyek, qazvin   introduction        due tocompetition in the global economy and an increase in public awareness about the fin...

In today’s competitive business and industrial environment, it is becoming more crucial than ever to assess precisely process losses due to noncompliance to customer specifications. To assess these losses, industry is extensively using Process Capability Indices for performance evaluation of their processes. Determination of the performance capability of a stable process using the standard proc...

Online learning to rank methods aim to optimize ranking models based on user interactions. The dueling bandit gradient descent (DBGD) algorithm is able to effectively optimize linear ranking models solely from user interactions. We propose an extension of DBGD, called probabilistic multileave gradient descent (PMGD) that builds on probabilistic multileave, a recently proposed highly sensitive a...

The use of high frame-rate 3D imaging systems for construction equipment control is part of a broader research effort at the National Institute of Standards and Technology investigating innovative technologies for automated construction, performance and evaluation of 3D imaging systems, and construction object recognition and tracking. A probabilistic measurement model is desired for these imag...

The non-parametric deterministic Support Vector Machines (SVMs) produce high levels of performances in text classification. This article offers a much needed evaluation of the Gaussian Process (GP) classifier, as a non-parametric probabilistic analogue to SVMs, which has been rarely applied to text classification. We provide an extensive experimental comparison of the performance and properties...

This report describes the work done at Océ Research for the Cross-Language Evaluation Forum (CLEF) 2003. This year we participated in seven mono-lingual tasks (all languages except Russian). We used the BM25 model, a probabilistic and (for Dutch only) a statistical model to rank documents. Knowledge Concepts’ Content Enabler semantic network was used (for statistical model only) for stemming, a...

Coevolutionary techniques in combination with particle swarm optimization algorithms and neural networks have shown to be very successful in finding strong game playing agents for a number of deterministic games. This paper investigates the applicability of a PSO coevolutionary approach to probabilistic games. For the purposes of this paper, a probabilistic variation of the tic-tac-toe game is ...

Probabilistic inference is a key mechanism for reasoning about probabilistic programs. Since exact inference is theoretically expensive, most probabilistic inference systems today have adopted approximate inference techniques, which trade precision for better performance (but often without guarantees). As a result, while desirable for its ultimate precision, the practical effectiveness of exact...

This paper presents a thorough examination of the validity of three evaluation measures on parser output. We assess parser performance of an unlexicalised probabilistic parser trained on two German treebanks with different annotation schemes and evaluate parsing results using the PARSEVAL metric, the Leaf-Ancestor metric and a dependency-based evaluation. We reject the claim that the TüBa-D/Z a...