نتایج جستجو برای: keyword biostratigraphy

تعداد نتایج: 15331  

Journal: :The Electronic Library 2010
Yu-Min Su PingYu Hsu Ning-Yao Pai

Purpose – The co-word analysis method is commonly used to cluster-related keywords into the same keyword domain. In other words, traditional co-word analysis cannot cluster the same keywords into more than one keyword domain, and disregards the multi-domain property of keywords. The purpose of this paper is to propose an innovative keyword co-citation approach called “Complete Keyword Pair (CKP...

2003
Kiyohide Nakauchi Yuichi Ishikawa Hiroyuki Morikawa Tomonori Aoyama

Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement. However, due to this decentralized architecture, current P2P keyword search systems lack useful global knowledge...

2006
S. G. Lucas L. H. Tanner

For the last three decades, the position of the Triassic–Jurassic boundary (TJB) in nonmarine strata has largely been based on its palynostratigraphic placement just below the oldest basalts of the Central Atlantic magmatic province (CAMP) in the Newark Supergroup of eastern North America. This boundary, however, is demonstrably older than the TJB as it is defined in marine strata. Thus, the pa...

Journal: :Speech Communication 2009
Joseph Keshet David Grangier Samy Bengio

This paper proposes a new approach for keyword spotting, which is not based on HMMs. The proposed method employs a new discriminative learning procedure, in which the learning phase aims at maximizing the area under the ROC curve, as this quantity is the most common measure to evaluate keyword spotters. The keyword spotter we devise is based on nonlinearly mapping the input acoustic representat...

Abbas Ali Zarei, Azma Salimi

The  present  study  investigated  the  effects  of  three  methods  of  vocabulary  presentation,  i.e., picture,  song,  and  the  keyword  method  on  Iranian  EFL  learners'  vocabulary  recognition  and production.  The  participants  were  102  Iranian  lower-intermediate  EFL  learners  in  Zaban  Sara English language institute in Kermanshah. To make sure that they had no previous knowl...

Journal: :Journal of Petroleum Exploration and Production Technology 2021

Abstract Palynofacies is based on the different types of dispersed/sedimentary organic matter (DOM/SOM) and has been used as a proficient proxy for palaeoclimatic reconstructions in sedimentary deposits various time spans. It also acknowledged an effective tool domains like sequence biostratigraphy, palyno-biostratigraphy, palaeodepositional history, identification depositional processes, oxic–...

2017
Jing Gong Beibei Li

In this paper, we explore how keyword ambiguity can affect search advertising performance. Consumers arrive at search engines with diverse interests, which are often unobserved and nontrivial to predict. The search interests of different consumers may vary even when they are searching using the same keyword. In our study, we propose an automatic way of examining keyword ambiguity based on proba...

2017

The paper discusses the relationship between fuzzy sets and formal logics as well as the influences fuzzy set theory had on the development of particular formal logics. Our focus is on the historical side of these developments. URL http://www.sciencedirect.com/science/article/pii/S0165011415003103 [11] Source URL: https://www.iiia.csic.es/en/node/53897 Links [1] https://www.iiia.csic.es/en/staf...

2000
Eric D. Sandness

In this paper, we investigate a new discriminative training technique which focuses on optimizing a keyword error rate, rather than the error rate on all words. We hypothesize that improvements in keyword error rate correlate with improvements in understanding error rates. Keyword-based discriminative training is accomplished by modifying a standard minimum classification error (MCE) training a...

Journal: :IEICE Transactions 2012
Marie Katsurai Takahiro Ogawa Miki Haseyama

SUMMARY In this paper, a novel framework for extracting visual feature-based keyword relationships from an image database is proposed. From the characteristic that a set of relevant keywords tends to have common visual features, the keyword relationships in a target image database are extracted by using the following two steps. First, the relationship between each keyword and its corresponding ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید