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[PDF] Top 20 A Label Informative Wide & Deep Classifier for Patents and Papers

Has 10000 "A Label Informative Wide & Deep Classifier for Patents and Papers" found on our website. Below are the top 20 most common "A Label Informative Wide & Deep Classifier for Patents and Papers".

A Label Informative Wide & Deep Classifier for Patents and Papers

A Label Informative Wide & Deep Classifier for Patents and Papers

... original label descrip- tions with the 10 nearest words in the embed- ding space according to their cosine ...scholar papers for our testing set 5 , and we assume that the labels are ranked according to the ... See full document

6

Decoding symbiotic endogeneity: the stochastic input-output analysis of university-business-government alliances

Decoding symbiotic endogeneity: the stochastic input-output analysis of university-business-government alliances

... the patents granted to one group in a UBG alliance are regarded as an output factor; however, several alliance participants can use those patents as inputs for their R and D ...publish papers about ... See full document

25

Fault Location in High Voltage Shunt Capacitor Banks

Fault Location in High Voltage Shunt Capacitor Banks

... protection, papers and patents include discussing the general protection methods [7–9], special logics for discrimination between an internal fault and a system fault for a ca- pacitor battery [10], effects ... See full document

231

A Novel Classifier for Gender Classification from Iris
Code used for Recognition

A Novel Classifier for Gender Classification from Iris Code used for Recognition

... An efficient classifier using iris code for gender prediction is performed. CASIA version 1 eye image database is used in the experiment. CASIA v1 eye image database contains 756 eye images from 108 individuals. ... See full document

7

Intrusion Detection System Using a Filter Based Feature Selection Algorithm

Intrusion Detection System Using a Filter Based Feature Selection Algorithm

... dataset, which will be discussed in Subsection some other detection methods were evaluated using other intrusion detection datasets, such as NSL-KDD and Kyoto 2006.A dimensionality reduction method proposed in was to ... See full document

9

A Deep Reinforced Sequence to Set Model for Multi Label Classification

A Deep Reinforced Sequence to Set Model for Multi Label Classification

... pre-defined label order, Nam et ...high-order label correlations and achieves excellent ...of classifier is sensi- tive to the pre-defined label ...pre-defined label sequence 3 ... See full document

7

Spatial Temporal Characteristics and Determinants of Innovation Output in China

Spatial Temporal Characteristics and Determinants of Innovation Output in China

... invention patents, utility models and design patents to represent inno- vation output, and comprehensively grasps the pattern of innovation output based on regional differences, spatial evolution of ... See full document

17

WEB MINING-THE DEEP WEB CONTENT IS HIGHLY RELEVANT TO QUALITY, AND RELEVANCE TO INFORMATION SEEKERS.

WEB MINING-THE DEEP WEB CONTENT IS HIGHLY RELEVANT TO QUALITY, AND RELEVANCE TO INFORMATION SEEKERS.

... the deep Web is so new, a different gauge was ...100 deep Web sites and another sample of 100 surface Web sites we issued the domain names to who is searching and retrieved the date the site was first ... See full document

7

Human Membrane Protein Classification Using KNN Multi Label Classifier (KNNMLC)

Human Membrane Protein Classification Using KNN Multi Label Classifier (KNNMLC)

... 2) Feature Extraction: Features are extracted from the protein sequence which are collected from database. A protein sequence consists of 20 unique amino acids. The 20 amino acids are A, C, D, E, F, G, H, I, J, K, L, M, ... See full document

9

Air Pollution Prediction via Differential Evolution Strategies with Random Forest Method

Air Pollution Prediction via Differential Evolution Strategies with Random Forest Method

... in which each instance may belong to more than one class. The aim of this paper was to use heterogeneous ensemble of multi-label learners to simultaneously tackle both the sample imbalance and label ... See full document

8

Statistical algorithms for ontology-based annotation of scientific literature

Statistical algorithms for ontology-based annotation of scientific literature

... a label may be drawn ...one label after it has been informed that some other label is a correct or incorrect annotation for the same sam- ...separate classifier for each ... See full document

15

A Study of Phishing Detection Using Associative Data Mining

A Study of Phishing Detection Using Associative Data Mining

... AC classifier, and to check this new AC classifier with four well-known AC algorithms with respect to classification accuracy and F1 analysis measures on a replacement phishing dataset proposed by mohammad ... See full document

5

Scalable Wide and Deep Learning for Computer Assisted Coding

Scalable Wide and Deep Learning for Computer Assisted Coding

... In the paper on hand we present our work to de- sign such a CAC system. The emphasis lies on in- dustrial aspects as the scale and the scaling of the system. We describe the design of a system which models 3000 ... See full document

7

Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

... H/α classifier (with nine clusters) is used for one arrangement and the K-means algorithm with various clusters is used for the other ...SVM classifier is ... See full document

8

Eddy Current Array Optimisation

Eddy Current Array Optimisation

... Giant magneto-resistive (GMR) sensors are solid state devices with large MR properties. Much work has been done in demonstrating the effectiveness of GMR sensors. Chomsuwan et al.[69], demonstrated the use of a ... See full document

190

Risk, Leverage, and Regulation of Financial Intermediaries

Risk, Leverage, and Regulation of Financial Intermediaries

... This market failure stated by Proposition 1 exists only because the deep pockets become FIs standing between households and entrepreneurs. It would not arise if entrepreneurs could issue …nancial contracts ... See full document

28

Adaptive learning with covariate shift detection for motor imagery based brain–computer interface

Adaptive learning with covariate shift detection for motor imagery based brain–computer interface

... Abstract A common assumption in traditional supervised learning is the similar probability distribution of data between the training phase and the testing/operating phase. When transitioning from the training to testing ... See full document

13

The NOTHING ELSE Brand: A Case Study

The NOTHING ELSE Brand: A Case Study

... ELSE label concept was presented to an international biscuit manufacturer for ...the label concept, they considered that the application was not commercially viable as a levy-based licensing ... See full document

7

Typed Entity and Relation Annotation on Computer Science Papers

Typed Entity and Relation Annotation on Computer Science Papers

... research papers, as the entities and relations annotated using our scheme contributes to distinguish the technology that is the main focus and the technology that is used for achieving ... See full document

8

Petroleum Patent Used Such Monitoring Technological Like Innovation Process of Drilling Fluids with Xanthan Gum —World Panorama

Petroleum Patent Used Such Monitoring Technological Like Innovation Process of Drilling Fluids with Xanthan Gum —World Panorama

... of patents, according to indexation of the areas by databases consulted, (ii) the number of depositors and highlights, emphasizing the presence of companies, (iii) the main inventors, and (iv) an analysis by the ... See full document

13

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