Daniel L. Ong

Probabilistic & Bayesian Methods · 2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 12 citations into it; #938 of 1,525 by trust here, #531 by citations

Whom Daniel L. Ong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Avi Pfeffer

Who trusts Daniel L. Ong overall

1. Vaishak Belle
2. David Wingate

Papers from Daniel L. Ong's perspective

Ordered by how strongly the researchers Daniel L. Ong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic reasoning in intelligent systems - networks of plausible inference
2. IBAL: A Probabilistic Rational Programming Language
3. A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
4. Learning Probabilistic Models of Link Structure
5. Parameter Learning of Logic Programs for Symbolic-Statistical Modeling (Journal of Artificial Intelligence Research)
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. Effective Bayesian Inference for Stochastic Programs
8. Training Products of Experts by Minimizing Contrastive Divergence
9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
10. INFERENCE AND MISSING DATA

Their papers

• BLOG: Probabilistic Models with Unknown Objects (2005) — 550 citations