Adam Craig Pocock

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Adam Craig Pocock trusts overall

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

1. Liam Paninski
2. Ludmila I. Kuncheva
3. Ioannis Tsamardinos
4. Patrick E. Meyer
5. Matthew D. Hoffman
6. Isabelle M Guyon

Who trusts Adam Craig Pocock overall

1. Chintan Parmar
2. Jorge R. Vergara
3. Gregory Ditzler
4. Sarah Nogueira
5. Fei Han
6. John M. Quilty
7. Diviyan Kalainathan
8. Fei Zhang

Papers from Adam Craig Pocock's perspective

Ordered by how strongly the researchers Adam Craig Pocock trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory: 1948-1998 - Guest Editorial
2. Latent Dirichlet Allocation
3. Stochastic variational inference
4. Toward Optimal Feature Selection
5. Wrappers for Feature Subset Selection
6. Estimation of Entropy and Mutual Information
7. Algorithms for Large Scale Markov Blanket Discovery (The Florida AI Research Society)
8. Finding scientific topics
9. Church: a language for generative models
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection (2012) — 1,252 citations
• Augur: Data-Parallel Probabilistic Modeling (2014) — 29 citations