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Robust and Noise Resistant Wrapper Induction

Tim Furche, Jinsong Guo, Sebastian Maneth, Christian Schallhart
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
Nevertheless, our wrapper induction framework infers highly robust and noise resistant queries.  ...  The queries are highly resistant against positive noise (up to 50%) and negative noise (up to 20%). mantic role of elements in the template.  ...  A wrapper induction I is k%-noise resistant, if for k% of all documents D and sets of nodes V,V of D, the wrapper I(D,V ) is noise resistant. Precision, Recall, and F-Score.  ... 
doi:10.1145/2882903.2915214 dblp:conf/sigmod/FurcheGMS16 fatcat:un47r33zqfcvbi5nhyrie6t64i

Efficient Feature Selection of Power Quality Events using Two Dimensional (2D) Particle Swarms [article]

Faizal Hafiz and Akshya Swain and Chirag Naik and Nitish Patel
2019 arXiv   pre-print
The search performance of the 2D learning approach has been compared to the other six well-known feature selection wrappers by considering two induction algorithms: Naive Bayes (NB) and k-Nearest Neighbors  ...  Further, the robustness of the selected/reduced feature subsets has been investigated considering seven different levels of noise.  ...  [51] suggest that relatively simple induction algorithms are more robust against the measurement noise.  ... 
arXiv:1904.06972v1 fatcat:lrrrdfwwx5ampcr7dn4uceqmea

Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future [article]

Tim Weninger, Rodrigo Palacios, Valter Crescenzi, Thomas Gottron, Paolo Merialdo
2015 arXiv   pre-print
Second, it is well understood that wrapper induction extractors tend to break as the Web changes; heuristic/feature engineering extractors were thought to be immune to a Web site's evolution, but we find  ...  We conclude with recommendations for future work that address these and other findings.  ...  Certain improvements in wrapper induction attempt to induce extraction rules that are more robust to minor changes [8, 9, 28] , but the more robust rules only delay the inevitable [5] .  ... 
arXiv:1508.04066v2 fatcat:am63ux467bfhffy5r4ulbz2w6y

Research on Data Fusion Method Based on Multisource Data Awareness of Internet of Things

Fanglei Sun, Zhifeng Diao, Yuan Li
2022 Journal of Sensors  
Firstly, a sparse noise reduction self-encoder is used to extract text features, Secondly, features are extracted by encoder.  ...  Accurately and efficiently extracting and processing the hidden fusion information in the big data of the Internet of Things is helpful to solve various multimodal data analysis tasks at present.  ...  encoder for noise reduction is not used for noise reduction in practical application, but for learning more effective and robust features.  ... 
doi:10.1155/2022/5001953 fatcat:mmxjs4d4fzeatp5bnmz7my5s2i

98 mW 10 Gbps Wireless Transceiver Chipset With D-Band CMOS Circuits

Minoru Fujishima, Mizuki Motoyoshi, Kosuke Katayama, Kyoya Takano, Naoko Ono, Ryuichi Fujimoto
2013 IEEE Journal of Solid-State Circuits  
In this paper, a design procedure for D-band CMOS circuits is overviewed from the device layer to the system layer, where the architecture is optimized to realize both low power and high data transfer  ...  In the case of layout for millimeter wave, it is not easy to apply layout parasitic extraction since not only parasitic capacitance and resistance affect the performance, but inductance as well.  ...  Phase noise of the transmitter is shown in Fig. 24 when the modulator is on. Phase noise at 1 MHz offset is dBc/ . B.  ... 
doi:10.1109/jssc.2013.2261192 fatcat:6lxkkychbjafhmtuyzjlqksxoy

The Impact of Feature Selection on Predicting the Number of Bugs [article]

Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz
2018 arXiv   pre-print
We study the impact of both correlation-based feature selection (CFS) filter methods and wrapper feature selection methods on five widely-used prediction models and demonstrate how these models perform  ...  While feature selection is an important step in building a robust prediction model, there is insufficient evidence about its impact on predicting the number of bugs in software systems.  ...  This is due to the fact that different machine learning models are different in their robustness against noise and multicollinearity.  ... 
arXiv:1807.04486v1 fatcat:kfz7boqcfjdhhepj25hyi2wef4

Papers by Title

2021 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)  
Algerian Grid Codes Relevant to PV Installations Comparative evaluation of the performance of a capacitive and a non-capacitive microbial fuel cell Comparative of Swarm Intelligence based Wrappers for  ...  Wrist Rehabilitation Robot New Method for Detection of Ventricular Suction in an implantable Pump Using Recursive DFT Algorithm Noise and temperature compensation for Graphene-ISFET micro-sensor  ... 
doi:10.1109/ssd52085.2021.9429407 fatcat:3t6ah3fww5bbvodo3m467n7sji

A digitally configurable measurement platform using audio cards for high-resolution electronic transport studies

D. B. Gopman, D. Bedau, A. D. Kent
2012 Review of Scientific Instruments  
Using a typical 24-bit audio card simultaneously as a sine wave generator and a narrow bandwidth ac voltmeter, we show the spectral purity of the analog-to-digital and digital-to-analog conversion stages  ...  , including an effective number of bits greater than 16 and dynamic range better than 110 dB.  ...  Stéphane Mangin of Nancy Université and Dr. Eric E. Fullerton of the University of California, San Diego for providing the spin-valve samples used in this study.  ... 
doi:10.1063/1.4709498 pmid:22667635 fatcat:pnc4cqox6rf4zlsyjgq6sdfecu

Multi-Layer Perceptron Neural Network Classifier With Binary Particle Swarm Optimization Based Feature Selection For Brain-Computer Interfaces

K. Akilandeswari, G. M. Nasira
2015 Zenodo  
nerves and muscles output pathway.  ...  Brain-Computer Interfaces (BCIs) measure brain signals activity, intentionally and unintentionally induced by users, and provides a communication channel without depending on the brain's normal peripheral  ...  These include high spatial resolution, signal fidelity, noise resistance, and substantial robustness over long recording periods. ECoG recordings balance fidelity and clinical practicality [7] .  ... 
doi:10.5281/zenodo.1109968 fatcat:yga7s2bmzreyveummgta3baz74

A D&T Roundtable Deep-Submicron Noise

J.F. MacDonald
1998 IEEE Design & Test of Computers  
In general, good methodology and verification always help before tape-out. Debugging is typically done using test results and identifying why some patterns failed.  ...  A nasty problem is one that escapes product testing and then gets discovered in the field. Imagine what would happen if this were a volume product.  ...  We suspected that inductance contributed to the problem and verified it by putting a chewing-gum wrapper on the chip for shielding, and it started passing.  ... 
doi:10.1109/mdt.1998.735931 fatcat:r6fsjbdcznh4hfrlgmnt72mx3u

User Authentication Based on Handwriting Analysis of Pen-Tablet Sensor Data Using Optimal Feature Selection Model

Nasima Begum, Md Azim Hossain Akash, Sayma Rahman, Jungpil Shin, Md Rashedul Islam, Md Ezharul Islam
2021 Future Internet  
This research proposed a robust and efficient user identification system using an optimal feature selection technique based on the features from the sensor's signal of pen and tablet devices.  ...  Thus, in this paper, we concentrate on real-time and context-free handwriting data analysis for robust user authentication systems using digital pen-tablet sensor data.  ...  Thanks to IEERD, University of Asia Pacific for supporting for research and publication fund. Conflicts of Interest: There is no conflict of interest.  ... 
doi:10.3390/fi13090231 fatcat:c3o64ijkrrfbhmlbm43i7bexvy

Detection of Chronic Kidney Disease and Selecting Important Predictive Attributes

Asif Salekin, John Stankovic
2016 2016 IEEE International Conference on Healthcare Informatics (ICHI)  
Finally, we perform a cost-accuracy tradeoff analysis to identify a new CKD detection approach with high accuracy and low cost.  ...  We also perform feature selection to determine the most relevant attributes for detecting CKD and rank them according to their predictability.  ...  Although, neural networks are fairly resistant to noise, they are not adaptive to missing data.  ... 
doi:10.1109/ichi.2016.36 dblp:conf/ichi/SalekinS16 fatcat:kfx4qp4ucbcjhjj4eyf25bo2yy

Magnetic-field modeling with surface currents: Implementation and usage of bfieldtools [article]

Rasmus Zetter, Antti J. Mäkinen, Joonas Iivanainen, Koos C. J. Zevenhoven, Risto J. Ilmoniemi, Lauri Parkkonen
2020 arXiv   pre-print
With bfieldtools, we aimed to produce a general, easy-to-use and well-documented open-source software.  ...  The package enables easy deployment, rapid code development and facilitates application of the software to practical problems.  ...  The MeshConductor wrapper adds properties and methods such as the surface stream function, inductance and resistance matrices as well as magnetic field and potential coupling matrices.  ... 
arXiv:2005.10056v2 fatcat:7ylsbyg63jfr7gjzjgfzpckq6y

Optimal feature selection for islanding detection in distributed generation

Sheetal Chandak, Manohar Mishra, Subrat Nayak, Pravat Kumar Rout
2018 IET Smart Grid  
In this study, a wrapper feature selection approach is proposed where a modified multi-objective differential evolution algorithm is coupled with a kernel-based extreme learning machine classifier.  ...  IEEE 1547 standards have been considered while designing and testing the IEEE 13 bus system against islanding.  ...  Thus, the wrapper FS methods are more accurate and robust than the filter FS methods which are considered to be faster.  ... 
doi:10.1049/iet-stg.2018.0021 fatcat:vw76founnvbh3g5uks3rd7bxi4

A Cognitive Experimental Approach to Understanding and Reducing Food Cravings

Eva Kemps, Marika Tiggemann
2010 Current Directions in Psychological Science  
Initial investigations focused primarily on documenting the phenomenology, antecedents and consequences of food cravings, such as the incidence of naturallyoccurring food cravings, and emotional and environmental  ...  Most of us experience food cravings on occasion, and these are not necessarily pathological.  ...  Acknowledgements and end note This work was supported under the Australian Research Council's Discovery Project funding scheme (project number DP0664435).  ... 
doi:10.1177/0963721410364494 fatcat:vldvq54lyvfzfctulxwj5oigmi
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