Filters








3,227 Hits in 9.5 sec

A language modeling framework for resource selection and results merging

Luo Si, Rong Jin, Jamie Callan, Paul Ogilvie
2002 Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02  
Statistical language models have been proposed recently for several information retrieval tasks, including the resource selection task in distributed information retrieval.  ...  This paper extends the language modeling approach to integrate resource selection, ad-hoc searching, and merging of results from different text databases into a single probabilistic retrieval model.  ...  P ) | log( ) | ( in Equation Results Merging The last step of distributed information retrieval is merging the results.  ... 
doi:10.1145/584853.584856 fatcat:54bmryyd3vcthapb4djqn5i2pq

A language modeling framework for resource selection and results merging

Luo Si, Rong Jin, Jamie Callan, Paul Ogilvie
2002 Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02  
Statistical language models have been proposed recently for several information retrieval tasks, including the resource selection task in distributed information retrieval.  ...  This paper extends the language modeling approach to integrate resource selection, ad-hoc searching, and merging of results from different text databases into a single probabilistic retrieval model.  ...  P ) | log( ) | ( in Equation Results Merging The last step of distributed information retrieval is merging the results.  ... 
doi:10.1145/584792.584856 dblp:conf/cikm/SiJCO02 fatcat:c3j4acis3fedng75672tbivqai

Federated search of text search engines in uncooperative environments

Luo Si
2007 SIGIR Forum  
A large part of my achievements as a graduate student and researcher comes from the collaborations with my co-authors. I especially would like to thank  ...  Jamie is not only a wonderful advisor but also a great mentor. He told me different ways to approach research problems. He showed me how to collaborate with other researchers and share success.  ...  Results merging is the final step for a federated document retrieval system. It merges the individual ranked lists from selected information sources into a single final ranked list.  ... 
doi:10.1145/1273221.1273232 fatcat:v4tddctxybbwbcknwuwggipxne

Federated Search of Text-Based Digital Libraries in Hierarchical Peer-to-Peer Networks [chapter]

Jie Lu, Jamie Callan
2005 Lecture Notes in Computer Science  
This paper addresses the problems of resource representation, resource ranking and selection, and result merging for federated search of text-based digital libraries in hierarchical peer-to-peer networks  ...  Experimental results demonstrate that the proposed approaches are both more accurate and more efficient than more common alternatives for text-based federated search in peer-to-peer networks.  ...  Result Merging Many result-merging algorithms have been proposed in distributed information retrieval.  ... 
doi:10.1007/978-3-540-31865-1_5 fatcat:ldndnza3ebhapd2wtdflsao2oq

A Comparative Analysis of Clustering Algorithms

Raj Bala, Sunil Sikka, Juhi Singh
2014 International Journal of Computer Applications  
In terms of efficiency and accuracy K-means produces better results as compared to other algorithms.  ...  Clustering is a process of grouping a set of similar data objects within the same group based on similarity criteria (i.e. based on a set of attributes). There are many clustering algorithms.  ...  INTRODUCTION Data mining is a technique to analyze and retrieve knowledge from large amount of database and transform it into useful information for future use [1] .  ... 
doi:10.5120/17603-8293 fatcat:nkz7f7ehujgj3i4tlwwdimprvi

Retrieval of All-Weather 1 km Land Surface Temperature from Combined MODIS and AMSR2 Data over the Tibetan Plateau

Yanmei Zhong, Lingkui Meng, Zushuai Wei, Jian Yang, Weiwei Song, Mohammad Basir
2021 Remote Sensing  
With this study, we propose a method for estimating all-weather 1 km LST by combining passive microwave and thermal infrared data.  ...  Terrain, vegetation conditions, and AMSR2 multiband information were selected as the auxiliary variables.  ...  Procedure for merging estimated LST on cloudy pixels with MODIS LST. Figure 6 . 6 Figure 6. Procedure for merging estimated LST on cloudy pixels with MODIS LST.Figure 6.  ... 
doi:10.3390/rs13224574 fatcat:tzk3dhgy3bephasq74qvekfuam

Increasing Data Anonymity using AES and Privacy Technique

2019 International journal of recent technology and engineering  
The research methodology consists of three phases. the analysis phase, combination techniques phase, and results evaluating phase and for every phase has research objective.  ...  The research objectives were to determine the privacy and security technique in suitable the dataset, and to implement the combination property with chosen and security technique in order to protect user  ...  Phase one is linked with the analysis phase, phase two is linked with the combination techniques phase, and phase three is linked with the results evaluation phase. to hoto  Phase one focuses on the analysis  ... 
doi:10.35940/ijrte.c5405.098319 fatcat:u7zrfpdfkjfqvgr6tybyyeople

Quality-control tests for OC4, OC5 and NIR-red satellite chlorophyll-a algorithms applied to coastal waters

H. Lavigne, D. Van der Zande, K. Ruddick, J.F. Cardoso Dos Santos, F. Gohin, V. Brotas, S. Kratzer
2021 Remote Sensing of Environment  
Results show that by removing data which do not pass QC, the performance of the three selected algorithms is significantly improved.  ...  After combining these algorithms, 70% of the dataset could be processed with a median absolute percent difference of 30.5%.  ...  It was also supported by funding from the European Union's Horizon 2020 Research and Innovation Programme grant agreement N 810139: Project Portugal Twinning for Innovation and Excellence in Marine Science  ... 
doi:10.1016/j.rse.2020.112237 fatcat:e5f6zar6qfbl7dfbxcfpux7gji

Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts

Xiaoyu Du, Mark Scanlon
2019 Proceedings of the 14th International Conference on Availability, Reliability and Security - ARES '19  
This methodology is designed to work in a human-in-the-loop fashion. In other words, it predicts/recommends that an artefact is likely to be suspicious rather than giving the final analysis result.  ...  In this paper, a methodology for the automatic prioritisation of suspicious file artefacts (i.e., file artefacts that are pertinent to the investigation) is proposed to reduce the manual analysis effort  ...  is the fraction of relevant instances that have been retrieved: recall = TP/(TP + FN); • F1-Score is an overall measure of a model's accuracy that combines precision and recall: F1-Score = 2*recall*precision  ... 
doi:10.1145/3339252.3340517 dblp:conf/IEEEares/DuS19 fatcat:dqmvorgilrhcrhgcitpsvfkiee

Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture

Diego Gómez, Pablo Salvador, Julia Sanz, Carlos Casanova, Daniel Taratiel, Jose Luis Casanova
2018 Journal of Applied Remote Sensing  
It was found that an area becomes suitable for breeding when the minimum SM values are over 0.07 m 3 ∕m 3 during 6 days or more.  ...  RF obtained the best model performance with very good validation results according to the true skill statistic and receiver operating characteristic curve statistics.  ...  Acknowledgments Authors would like to acknowledge ESA Climate Change Initiative and the Soil Moisture CCI project for providing free access to the Combined Soil Moisture dataset. We would also like to  ... 
doi:10.1117/1.jrs.12.036011 fatcat:ir5c66vzj5gntdrozggq4avaem

High-resolution urban air quality monitoring using sentinel satellite images and low-cost ground-based sensor networks

Joseph Gitahi, Michael Hahn, K. Jóźwiakowski, T. Ciesielczuk
2020 E3S Web of Conferences  
However, MAJA algorithm gives better and detailed variations of AOD at 10m spatial resolution which is suitable for identifying varying aerosol conditions over urban environments at a local scale.  ...  Sen2Cor, iCOR and MAJA algorithms which retrieve AOD using Look-up-Tables (LUT) pre-calculated using radiative transfer (RT) equations and SARA algorithm that applies RT equations directly to satellite  ...  Conversely, Sen2Cor and iCOR algorithms retrieve lower AOD values with no matching distribution patterns to the Sentinel -3 SYN AOD. iCOR retrieved AOD appears in rectangular patterns which is a result  ... 
doi:10.1051/e3sconf/202017102002 fatcat:vq2ohmj3lnb2dftle5nbwxx3pa

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data

Ana B. Pascual-Venteo, Enrique Portalés, Katja Berger, Giulia Tagliabue, Jose L. Garcia, Adrián Pérez-Suay, Juan Pablo Rivera-Caicedo, Jochem Verrelst
2022 Remote Sensing  
Hybrid models, combining radiative transfer models with machine learning algorithms, are preferred, however, dealing with spectral collinearity imposes an additional challenge.  ...  Gaussian process regression (GPR) algorithms were trained over the simulations to obtain trait-specific models.  ...  These preceding studies focused on hybrid retrieval algorithms in combination with PCA.  ... 
doi:10.3390/rs14102448 fatcat:ckkkrqawengjte7z4h4pgjstbi

EMERGING MACHINE LEARNING TECHNIQUES IN MALWARE DETECTION AND ANALYSIS: A COMPARATIVE ANALYSIS

Prithvi Chintha, Kakelli Anil Kumar
2020 Zenodo  
We systemized them on various aspects like their objectives, machine learning algorithms used, information about the malware, etc.  ...  New types of malware with unique characteristics are being created daily in legion. This exponential increase in malwareis creating a threat to the internet.  ...  It is used in various cases of information and classification retrieval. Rule-Based methodologies can create invigorating and imprecise rules for various ML Algorithms.  ... 
doi:10.5281/zenodo.4282425 fatcat:3cl22qcjynejpkrhfmotf2kw54

SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality

Kerstin Stebel, Iwona S. Stachlewska, Anca Nemuc, Jan Horálek, Philipp Schneider, Nicolae Ajtai, Andrei Diamandi, Nina Benešová, Mihai Boldeanu, Camelia Botezan, Jana Marková, Rodica Dumitrache (+10 others)
2021 Remote Sensing  
A retrieval for ground-level concentrations of PM2.5 was implemented using the SEVIRI AOD in combination with WRF-Chem output.  ...  Initial testing using synthetic data was followed by applying the algorithm to OMI NO2 data with a direct comparison against high-resolution TROPOMI NO2 as a reference, thus allowing for a quantitative  ...  This paper contains modified Copernicus Atmosphere Monitoring Service Information (2018); neither the EC nor the ECMWF is responsible for any use that may be made of the information it contains.  ... 
doi:10.3390/rs13112219 fatcat:onszd7ut2fgrvpvfkg3rjde5c4

Travelling the world of gene-gene interactions

K. Van Steen
2011 Briefings in Bioinformatics  
The purpose of this work is to give a perspective view on a selection of currently active analysis strategies and concerns in the context of epistasis detection, and to provide an eye to the future of  ...  The search for epistasis or gene^gene interaction effects on traits of interest is marked by an exponential growth, not only in terms of methodological development, but also in terms of practical applications  ...  EpiForest [71] combines a random forests analysis with a sliding-window sequential forward feature selection (SWSFS) algorithm.  ... 
doi:10.1093/bib/bbr012 pmid:21441561 fatcat:3kojyhlvfrgjrjbjtrovmg2aaa
« Previous Showing results 1 — 15 out of 3,227 results