Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
16422 | 654 | 37.0 | 40% |
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 | TRANSFER LEARNING | authKW | 1463584 | 16% | 30% | 104 |
2 | DOMAIN ADAPTATION | authKW | 1374094 | 10% | 45% | 66 |
3 | MULTI TASK LEARNING | authKW | 1203455 | 12% | 33% | 77 |
4 | MAXIMUM MEAN DISCREPANCY | authKW | 420194 | 2% | 75% | 12 |
5 | DENSITY RATIO ESTIMATION | authKW | 332307 | 2% | 65% | 11 |
6 | UNSUPERVISED DOMAIN ADAPTATION | authKW | 332008 | 1% | 89% | 8 |
7 | CROSS DOMAIN LEARNING | authKW | 274632 | 2% | 59% | 10 |
8 | COVARIATE SHIFT | authKW | 256778 | 2% | 50% | 11 |
9 | SQUARED LOSS MUTUAL INFORMATION | authKW | 254192 | 1% | 78% | 7 |
10 | ZERO SHOT LEARNING | authKW | 190640 | 1% | 58% | 7 |
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 | 40294 | 64% | 0% | 421 |
2 | Computer Science, Information Systems | 7169 | 27% | 0% | 179 |
3 | Computer Science, Software Engineering | 2416 | 14% | 0% | 94 |
4 | Engineering, Electrical & Electronic | 1645 | 31% | 0% | 200 |
5 | Automation & Control Systems | 783 | 7% | 0% | 49 |
6 | Computer Science, Theory & Methods | 760 | 10% | 0% | 65 |
7 | Computer Science, Cybernetics | 366 | 2% | 0% | 15 |
8 | Computer Science, Hardware & Architecture | 238 | 4% | 0% | 24 |
9 | Telecommunications | 86 | 4% | 0% | 24 |
10 | Computer Science, Interdisciplinary Applications | 59 | 3% | 0% | 21 |
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 | KNOWLEDGE ENGN DISCOVER | 70030 | 0% | 50% | 3 |
2 | QUANTUM COMPUTAT INTELLIGENT SYST | 47402 | 3% | 5% | 21 |
3 | ADV STUDIES DIGITAL SIGNAL PROC | 46689 | 0% | 100% | 1 |
4 | ADVANSE | 46689 | 0% | 100% | 1 |
5 | AI GRPSEKR FR58 | 46689 | 0% | 100% | 1 |
6 | ASAI | 46689 | 0% | 100% | 1 |
7 | BROADCASTING 8C TELECOMMUN MEDIA | 46689 | 0% | 100% | 1 |
8 | CALVIN TEAM | 46689 | 0% | 100% | 1 |
9 | CNRSENSINRIAUMR 8548 | 46689 | 0% | 100% | 1 |
10 | COMP IMAGING IL | 46689 | 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 | 52510 | 6% | 3% | 42 |
2 | MACHINE LEARNING | 19937 | 4% | 2% | 23 |
3 | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA | 17018 | 1% | 4% | 9 |
4 | IEEE TRANSACTIONS ON MULTIMEDIA | 11341 | 3% | 1% | 22 |
5 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 11212 | 2% | 2% | 16 |
6 | NEUROCOMPUTING | 11192 | 7% | 1% | 48 |
7 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 9674 | 4% | 1% | 25 |
8 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 7373 | 4% | 1% | 27 |
9 | KNOWLEDGE AND INFORMATION SYSTEMS | 6361 | 2% | 1% | 12 |
10 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 6071 | 1% | 2% | 7 |
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 | TRANSFER LEARNING | 1463584 | 16% | 30% | 104 | Search TRANSFER+LEARNING | Search TRANSFER+LEARNING |
2 | DOMAIN ADAPTATION | 1374094 | 10% | 45% | 66 | Search DOMAIN+ADAPTATION | Search DOMAIN+ADAPTATION |
3 | MULTI TASK LEARNING | 1203455 | 12% | 33% | 77 | Search MULTI+TASK+LEARNING | Search MULTI+TASK+LEARNING |
4 | MAXIMUM MEAN DISCREPANCY | 420194 | 2% | 75% | 12 | Search MAXIMUM+MEAN+DISCREPANCY | Search MAXIMUM+MEAN+DISCREPANCY |
5 | DENSITY RATIO ESTIMATION | 332307 | 2% | 65% | 11 | Search DENSITY+RATIO+ESTIMATION | Search DENSITY+RATIO+ESTIMATION |
6 | UNSUPERVISED DOMAIN ADAPTATION | 332008 | 1% | 89% | 8 | Search UNSUPERVISED+DOMAIN+ADAPTATION | Search UNSUPERVISED+DOMAIN+ADAPTATION |
7 | CROSS DOMAIN LEARNING | 274632 | 2% | 59% | 10 | Search CROSS+DOMAIN+LEARNING | Search CROSS+DOMAIN+LEARNING |
8 | COVARIATE SHIFT | 256778 | 2% | 50% | 11 | Search COVARIATE+SHIFT | Search COVARIATE+SHIFT |
9 | SQUARED LOSS MUTUAL INFORMATION | 254192 | 1% | 78% | 7 | Search SQUARED+LOSS+MUTUAL+INFORMATION | Search SQUARED+LOSS+MUTUAL+INFORMATION |
10 | ZERO SHOT LEARNING | 190640 | 1% | 58% | 7 | Search ZERO+SHOT+LEARNING | Search ZERO+SHOT+LEARNING |
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 | JIANG, M , HUANG, WZ , HUANG, ZQ , YEN, GG , (2017) INTEGRATION OF GLOBAL AND LOCAL METRICS FOR DOMAIN ADAPTATION LEARNING VIA DIMENSIONALITY REDUCTION.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 47. ISSUE 1. P. 38 -51 | 16 | 89% | 0 |
2 | YAN, Y , LIU, GW , WANG, S , ZHANG, J , ZHENG, K , (2017) GRAPH-BASED CLUSTERING AND RANKING FOR DIVERSIFIED IMAGE SEARCH.MULTIMEDIA SYSTEMS. VOL. 23. ISSUE 1. P. 41 -52 | 11 | 58% | 2 |
3 | TAHMORESNEZHAD, J , HASHEMI, S , (2017) VISUAL DOMAIN ADAPTATION VIA TRANSFER FEATURE LEARNING.KNOWLEDGE AND INFORMATION SYSTEMS. VOL. 50. ISSUE 2. P. 585 -605 | 12 | 86% | 0 |
4 | GAO, J , HUANG, R , LI, HX , (2015) SUB-DOMAIN ADAPTATION LEARNING METHODOLOGY.INFORMATION SCIENCES. VOL. 298. ISSUE . P. 237 -256 | 14 | 74% | 2 |
5 | TAHMORESNEZHAD, J , HASHEMI, S , (2016) AN EFFICIENT YET EFFECTIVE RANDOM PARTITIONING AND FEATURE WEIGHTING APPROACH FOR TRANSFER LEARNING.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. VOL. 30. ISSUE 2. P. - | 11 | 92% | 0 |
6 | KOBAYASHI, T , SUGIYAMA, M , (2012) EARLY STOPPING HEURISTICS IN POOL-BASED INCREMENTAL ACTIVE LEARNING FOR LEAST-SQUARES PROBABILISTIC CLASSIFIER.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. VOL. E95D. ISSUE 8. P. 2065-2073 | 13 | 81% | 0 |
7 | KURIHARA, N , SUGIYAMA, M , (2012) IMPROVING IMPORTANCE ESTIMATION IN POOL-BASED BATCH ACTIVE LEARNING FOR APPROXIMATE LINEAR REGRESSION.NEURAL NETWORKS. VOL. 36. ISSUE . P. 73 -82 | 13 | 81% | 0 |
8 | XU, Y , FANG, XZ , WU, J , LI, XL , ZHANG, D , (2016) DISCRIMINATIVE TRANSFER SUBSPACE LEARNING VIA LOW-RANK AND SPARSE REPRESENTATION.IEEE TRANSACTIONS ON IMAGE PROCESSING. VOL. 25. ISSUE 2. P. 850 -863 | 14 | 56% | 3 |
9 | HACHIYA, H , SUGIYAMA, M , UEDA, N , (2012) IMPORTANCE-WEIGHTED LEAST-SQUARES PROBABILISTIC CLASSIFIER FOR COVARIATE SHIFT ADAPTATION WITH APPLICATION TO HUMAN ACTIVITY RECOGNITION.NEUROCOMPUTING. VOL. 80. ISSUE . P. 93 -101 | 11 | 85% | 8 |
10 | CUI, Z , LI, W , XU, D , SHAN, SG , CHEN, XL , LI, XL , (2014) FLOWING ON RIEMANNIAN MANIFOLD: DOMAIN ADAPTATION BY SHIFTING COVARIANCE.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 44. ISSUE 12. P. 2264 -2273 | 12 | 75% | 2 |
Classes with closest relation at Level 1 |