2008 |
12 | EE | Jianzhong Chen,
Lawrence A. Kelley,
Stephen Muggleton,
Michael J. E. Sternberg:
Protein Fold Discovery Using Stochastic Logic Programs.
Probabilistic Inductive Logic Programming 2008: 244-262 |
11 | EE | Stephen Muggleton,
Jianzhong Chen:
A Behavioral Comparison of Some Probabilistic Logic Models.
Probabilistic Inductive Logic Programming 2008: 305-324 |
10 | EE | Jianzhong Chen,
Stephen Muggleton,
José Carlos Almeida Santos:
Learning probabilistic logic models from probabilistic examples.
Machine Learning 73(1): 55-85 (2008) |
2007 |
9 | EE | Yilin Wang,
Wenzhong Li,
Jianzhong Chen,
Sanglu Lu,
Fang Wang,
Daoxu Chen:
RSB-Topo: A Topology Adaptation Algorithm for Unstructured P2P Networks.
ICPP Workshops 2007: 73 |
8 | EE | Jianzhong Chen,
Stephen Muggleton,
Jose Santos:
Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract).
ILP 2007: 22-23 |
7 | EE | Jianzhong Chen,
Zhongke Shi,
Yanmei Hu:
Numerical Solution of a Two-Class LWR Traffic Flow Model by High-Resolution Central-Upwind Scheme.
International Conference on Computational Science (1) 2007: 17-24 |
6 | EE | Jianzhong Chen,
Stephen Muggleton,
Jose Santos:
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning.
MLG 2007 |
2006 |
5 | EE | Shuyang Sun,
Jianzhong Chen,
Dayou Liu,
Chengmin Sun:
A Posterior-Based Method for Markov Logic Networks Parameters Learning.
IEEE ICCI 2006: 529-534 |
4 | EE | Jianzhong Chen,
Lawrence A. Kelley,
Stephen Muggleton,
Michael J. E. Sternberg:
Multi-class Prediction Using Stochastic Logic Programs.
ILP 2006: 109-124 |
2004 |
3 | | Jianzhong Chen,
Mary Shapcott,
Sally I. McClean,
Kenneth Adamson:
Hierarchical Model-Based Clustering for Relational Data.
ICEIS (2) 2004: 92-97 |
2 | EE | Jianzhong Chen,
Mary Shapcott,
Sally I. McClean,
Kenneth Adamson:
Hierarchical model-based clustering of relational data with aggregates.
SAC 2004: 620-621 |
2002 |
1 | EE | Jianzhong Chen,
Mary Shapcott,
Sally I. McClean,
Kenneth Adamson:
Learning with Concept Hierarchies in Probabilistic Relational Data Mining.
WAIM 2002: 104-115 |