Canonical dual approach to binary factor analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5441, Issue , 2009, Pages 346-353

  Sun, Ke ^a   Tu, Shikui ^a   Gao, David Yang ^b   Xu, Lei ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN YING YANGS; BINARY FACTORS; BINARY QUADRATIC PROGRAMMING; COMBINATORIAL COMPLEXITY; DUAL APPROACH; DUAL PROBLEM; LEARNING PROCESS; MODEL SELECTION; PARAMETER LEARNING; SIGNAL SOURCE;

COMPUTATIONAL COMPLEXITY; EDUCATION; HEMODYNAMICS; OPTIMIZATION; QUADRATIC PROGRAMMING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 67149134695     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00599-2_44     Document Type: Conference Paper

References (12)

1. Keprt, A., Snasel, V.: Binary factor analysis with help of formal concepts. In: Snasel, V., Belohlavek, R. (eds.) CLA. CEUR Workshop Proceedings, CEUR- WS.org., vol. 110, pp. 90-101 (2004)
2. Taylor, G.W., Hinton, G.E., Roweis, S.T.: Modeling human motion using binary latent variables. In: Scholkopf, B., Platt, J., Hoffman, T. (eds.) NIPS, pp. 1345-1352. MIT Press, Cambridge (2007)
3. Meeds, E., Ghahramani, Z., Neal, R.M., Roweis, S.T.: Modeling dyadic data with binary latent factors. In: Scholkopf, B., Platt, J., Hoffman, T. (eds.) NIPS, pp. 977-984. MIT Press, Cambridge (2007)
4. An, Y., Hu, X., Xu, L.: A comparative investigation on model selection in binary factor analysis. Journal of Mathematical Modelling and Algorithms 5 (4), 447-473 (2006)
5. Akaike, H.: A new look at the statistical model identification. IEEE Transactions on Automatic Control 19 (6), 716-723 (1974)
6. Schwarz, G.: Estimating the Dimension of a Model. The Annals of Statistics 6 (2), 461-464 (1978)
7. Xu, L.: A unified learning scheme: Bayesian-Kullback Ying-Yang machines. In: Touretzky, D.S., Mozer, M., Hasselmo, M.E. (eds.) NIPS, pp. 444-450. MIT Press, Cambridge (1995); A preliminary version in Proc. ICONIP 1995, Beijing, pp. 977-988 (1995)
8. Xu, L.: Machine learning problems from optimization perspective. A special issue for CDGO 2007, Journal of Global Optimization (in press, 2008)
9. Gao, D.Y.: Solutions and optimality criteria to box constrained nonconvex minimization problems. Journal of Industrial and Management Optimization 3 (2), 293-304 (2007)
10. Fang, S.C., Gao, D.Y., Shue, R.L., Wu, S.Y.: Canonical Dual Approach for Solving 0-1 Quadratic Programming Problems. Journal of Industrial and Management Optimization 4 (1), 125-142 (2008)
11. Xu, L.: BYY harmony learning, independent state space and generalized APT financial analysis. IEEE Transactions on Neural Networks 12 (4), 822-849 (2001)
12. Merz, P., Freisleben, B.: Greedy and Local Search Heuristics for Unconstrained Binary Quadratic Programming. Journal of Heuristics 8 (2), 197-213 (2002)