Session 4: Knowledge Representation
Canadian AI 2022
Session 4: Knowledge representation (Wednesday 1 June, 11:10 EDT-12:15 EDT, Chair: Renata Dividino)
00:00 Ali Abbasi Tadi, Luis Rueda and Dima Alhadidi. NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks
17:36 Xing Tan, Jimmy Huang and Kai Huang. Complexity Analysis of Green Pickup-and-Delivery Problems on Ring Structures
36:20 Zhenyu Liao, Junyao Duan and Peter van Beek. On identifying significant edges for structure learning in Bayesian networks
48:40 (Short) Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray and Mark Crowley. Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
57:00 (Short) Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li and Hsu Kiang Ooi. Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge