Ryan Poirier

2008

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Ryan Poirier trusts overall

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

1. Daniel L. Silver
2. Tony Jebara
3. Bart J. Bakker
4. Bernhard E. Boser
5. Shai Ben-David
6. Juan Carlos Santamaría
7. Neeraj Arora
8. Tom M. Heskes

Who trusts Ryan Poirier overall

1. Daniel L. Silver
2. Luisa M. Zintgraf
3. Jie Lu

Papers from Ryan Poirier's perspective

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

1. A training algorithm for optimal margin classifiers
2. Exploiting Task Relatedness for Mulitple Task Learning
3. Is Learning The n-th Thing Any Easier Than Learning The First?
4. Multi-task feature and kernel selection for SVMs
5. Task Clustering and Gating for Bayesian Multitask Learning
6. Experiments with Reinforcement Learning in Problems with Continuous State and Action Spaces
7. A Hierarchical Bayes Model of Primary and Secondary Demand
8. The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness
9. The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data
10. Multitask Learning

Their papers

• Inductive transfer with context-sensitive neural networks (2008) — 58 citations