Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
18552 | 547 | 37.5 | 41% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | DEEP LEARNING | authKW | 1450895 | 22% | 21% | 123 |
2 | RESTRICTED BOLTZMANN MACHINE | authKW | 1102631 | 7% | 51% | 39 |
3 | DEEP BELIEF NETWORKS | authKW | 547035 | 4% | 47% | 21 |
4 | AUTOENCODER | authKW | 476260 | 4% | 37% | 23 |
5 | CONTRASTIVE DIVERGENCE | authKW | 248657 | 1% | 64% | 7 |
6 | DEEP BOLTZMANN MACHINE | authKW | 248657 | 1% | 64% | 7 |
7 | DEEP ARCHITECTURE | authKW | 223281 | 1% | 50% | 8 |
8 | REPRESENTATION LEARNING | authKW | 217238 | 2% | 32% | 12 |
9 | CONVOLUTIONAL NEURAL NETWORKS | authKW | 195834 | 4% | 18% | 20 |
10 | DEEP AUTOENCODER | authKW | 167467 | 1% | 100% | 3 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 20436 | 50% | 0% | 275 |
2 | Computer Science, Information Systems | 1239 | 13% | 0% | 70 |
3 | Computer Science, Software Engineering | 957 | 10% | 0% | 55 |
4 | Engineering, Electrical & Electronic | 780 | 24% | 0% | 130 |
5 | Automation & Control Systems | 655 | 7% | 0% | 41 |
6 | Computer Science, Theory & Methods | 442 | 8% | 0% | 46 |
7 | Telecommunications | 299 | 7% | 0% | 37 |
8 | Computer Science, Hardware & Architecture | 197 | 4% | 0% | 20 |
9 | Neurosciences | 145 | 12% | 0% | 65 |
10 | Mathematical & Computational Biology | 128 | 3% | 0% | 17 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | ADV BIOMED INFORMAT GRP LLC | 55822 | 0% | 100% | 1 |
2 | ADV MECHATRON ROBOT CAMARO | 55822 | 0% | 100% | 1 |
3 | B INFORMAT SCI ENGN | 55822 | 0% | 100% | 1 |
4 | BIG MEDIA COMP | 55822 | 0% | 100% | 1 |
5 | CHAIR COMP PHOTON DIGITAL VIDEO PROC | 55822 | 0% | 100% | 1 |
6 | CHINA USA COMP SCI | 55822 | 0% | 100% | 1 |
7 | COM1 | 55822 | 0% | 100% | 1 |
8 | CSEM ALPNACH | 55822 | 0% | 100% | 1 |
9 | DRUG DISCOVERY ONCOL GRP | 55822 | 0% | 100% | 1 |
10 | EA 4108FR CNRS 9638 | 55822 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF MACHINE LEARNING RESEARCH | 27892 | 5% | 2% | 28 |
2 | NEURAL COMPUTATION | 24154 | 6% | 1% | 33 |
3 | NEUROCOMPUTING | 9293 | 7% | 0% | 40 |
4 | IEEE TRANSACTIONS ON MULTIMEDIA | 9076 | 3% | 1% | 18 |
5 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 6398 | 4% | 1% | 23 |
6 | ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS | 6303 | 1% | 2% | 7 |
7 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2559 | 1% | 1% | 7 |
8 | NEURAL NETWORKS | 2128 | 2% | 0% | 11 |
9 | PATTERN RECOGNITION | 2064 | 3% | 0% | 16 |
10 | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 1775 | 1% | 1% | 4 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | DEEP LEARNING | 1450895 | 22% | 21% | 123 | Search DEEP+LEARNING | Search DEEP+LEARNING |
2 | RESTRICTED BOLTZMANN MACHINE | 1102631 | 7% | 51% | 39 | Search RESTRICTED+BOLTZMANN+MACHINE | Search RESTRICTED+BOLTZMANN+MACHINE |
3 | DEEP BELIEF NETWORKS | 547035 | 4% | 47% | 21 | Search DEEP+BELIEF+NETWORKS | Search DEEP+BELIEF+NETWORKS |
4 | AUTOENCODER | 476260 | 4% | 37% | 23 | Search AUTOENCODER | Search AUTOENCODER |
5 | CONTRASTIVE DIVERGENCE | 248657 | 1% | 64% | 7 | Search CONTRASTIVE+DIVERGENCE | Search CONTRASTIVE+DIVERGENCE |
6 | DEEP BOLTZMANN MACHINE | 248657 | 1% | 64% | 7 | Search DEEP+BOLTZMANN+MACHINE | Search DEEP+BOLTZMANN+MACHINE |
7 | DEEP ARCHITECTURE | 223281 | 1% | 50% | 8 | Search DEEP+ARCHITECTURE | Search DEEP+ARCHITECTURE |
8 | REPRESENTATION LEARNING | 217238 | 2% | 32% | 12 | Search REPRESENTATION+LEARNING | Search REPRESENTATION+LEARNING |
9 | CONVOLUTIONAL NEURAL NETWORKS | 195834 | 4% | 18% | 20 | Search CONVOLUTIONAL+NEURAL+NETWORKS | Search CONVOLUTIONAL+NEURAL+NETWORKS |
10 | DEEP AUTOENCODER | 167467 | 1% | 100% | 3 | Search DEEP+AUTOENCODER | Search DEEP+AUTOENCODER |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | LECUN, Y , BENGIO, Y , HINTON, G , (2015) DEEP LEARNING.NATURE. VOL. 521. ISSUE 7553. P. 436 -444 | 12 | 36% | 551 |
2 | TOMCZAK, JM , GONCZAREK, A , (2017) LEARNING INVARIANT FEATURES USING SUBSPACE RESTRICTED BOLTZMANN MACHINE.NEURAL PROCESSING LETTERS. VOL. 45. ISSUE 1. P. 173 -182 | 14 | 88% | 0 |
3 | MA, XS , WANG, XJ , (2016) AVERAGE CONTRASTIVE DIVERGENCE FOR TRAINING RESTRICTED BOLTZMANN MACHINES.ENTROPY. VOL. 18. ISSUE 1. P. - | 11 | 92% | 2 |
4 | BENGIO, Y , COURVILLE, A , VINCENT, P , (2013) REPRESENTATION LEARNING: A REVIEW AND NEW PERSPECTIVES.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. 35. ISSUE 8. P. 1798-1828 | 14 | 31% | 526 |
5 | FISCHER, A , IGEL, C , (2014) TRAINING RESTRICTED BOLTZMANN MACHINES: AN INTRODUCTION.PATTERN RECOGNITION. VOL. 47. ISSUE 1. P. 25 -39 | 10 | 77% | 36 |
6 | OERLEMANS, A , LAO, SY , WU, S , LEW, MS , GUO, YM , LIU, Y , (2016) DEEP LEARNING FOR VISUAL UNDERSTANDING: A REVIEW.NEUROCOMPUTING. VOL. 187. ISSUE . P. 27 -48 | 12 | 48% | 9 |
7 | MONTUFAR, G , AY, N , GHAZI-ZAHEDI, K , (2015) GEOMETRY AND EXPRESSIVE POWER OF CONDITIONAL RESTRICTED BOLTZMANN MACHINES.JOURNAL OF MACHINE LEARNING RESEARCH. VOL. 16. ISSUE . P. 2405 -2436 | 10 | 91% | 0 |
8 | SANKARAN, A , GOSWAMI, G , VATSA, M , SINGH, R , MAJUMDAR, A , (2017) CLASS SPARSITY SIGNATURE BASED RESTRICTED BOLTZMANN MACHINE.PATTERN RECOGNITION. VOL. 61. ISSUE . P. 674 -685 | 10 | 77% | 0 |
9 | ELFWING, S , UCHIBE, E , DOYA, K , (2015) EXPECTED ENERGY-BASED RESTRICTED BOLTZMANN MACHINE FOR CLASSIFICATION.NEURAL NETWORKS. VOL. 64. ISSUE . P. 29 -38 | 8 | 89% | 7 |
10 | VINCENT, P , (2011) A CONNECTION BETWEEN SCORE MATCHING AND DENOISING AUTOENCODERS.NEURAL COMPUTATION. VOL. 23. ISSUE 7. P. 1661 -1674 | 9 | 90% | 20 |
Classes with closest relation at Level 1 |