SCOPUS 정보 검색 플랫폼

Volumn 2, Issue , 2007, Pages 420-427

A latent space approach to dynamic embedding of co-occurrence data

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE; DISTRIBUTIONAL INFORMATION; EMBEDDINGS; EUCLIDEAN SPACES; OBSERVATION MODEL; SYNTHETIC DATA; TIME STEP;

SOFTWARE ENGINEERING;

ARTIFICIAL INTELLIGENCE;

EID: 84862281537 PISSN: 15324435 EISSN: 15337928 Source Type: Journal
DOI: None Document Type: Conference Paper

Times cited : (40)

References (11)

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2
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- Euclidean embedding of co-occurrence data
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- Globerson, A.¹ Chechik, G.² Pereira, F.³ Tishby, N.⁴

3
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- Kalman, R.E.¹

4
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- Visualization of collaborative data
- Mei, G., & Shelton, C. R. (2006). Visualization of collaborative data. Proc. UAI.
- (2006) Proc. UAI
- Mei, G.¹ Shelton, C.R.²

5
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- Computational methods for intelligent information access
- M.W. Berry, S. D., & Letsche, T. (1995). Computational methods for intelligent information access. Proceedings of Supercomputing.
- (1995) Proceedings of Supercomputing
- Berry, S.D.M.W.¹ Letsche, T.²

6
- 0141479142
- Ng, A., Jordan, M., & Weiss, Y. (2001). On spectral clustering: Analysis and an algorithm.
- (2001) On Spectral Clustering: Analysis and An Algorithm
- Ng, A.¹ Jordan, M.² Weiss, Y.³

7
- 38049143752
- Latent space approaches to social network analysis
- Raftery, A. E., Handcock, M. S., & Hoff, P. D. (2002). Latent space approaches to social network analysis. J.Amer. Stat. Assoc., 15, 460.
- (2002) J.Amer. Stat. Assoc. , vol.15 , pp. 460
- Raftery, A.E.¹ Handcock, M.S.² Hoff, P.D.³

8
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- Nonlinear dimensionality reduction by locally linear embedding
- Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science.
- (2000) Science
- Roweis, S.T.¹ Saul, L.K.²

9
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- Dynamic social network analysis using latent space models
- Sarkar, P., & Moore, A. (2005). Dynamic social network analysis using latent space models. Proc. Nineteenth Annual Conf. on Neural Info. Proc. Systems (NIPS).
- (2005) Proc. Nineteenth Annual Conf. on Neural Info. Proc. Systems (NIPS)
- Sarkar, P.¹ Moore, A.²

10
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- Studies in the robustness of multidimensional scaling : Perturbational analysis of classical scaling
- Sibson, R. (1979). Studies in the robustness of multidimensional scaling : Perturbational analysis of classical scaling. J. Royal Stat. Soc. B.
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- Sibson, R.¹

11
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- A global geometric framework for nonlinear dimensionality reduction
- Tenenbaum, J., de Silva, V., & Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. Science
- (2000) Science
- Tenenbaum, J.¹ De Silva, V.² Langford, J.C.³

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.