Ciya Liao
Artificial Intelligence · 2010
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #32,794 of 35,345 by trust here, #22,463 by citations
- Information Systems — 8 citations into it
- Information Retrieval & Search — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Ciya Liao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman (in Evaluation & Benchmarks)
- Thorsten Joachims (in Artificial Intelligence)
- Jerome H. Friedman (in Statistical Learning Theory)
- Fernando Diaz (in Artificial Intelligence)
- Jon M. Kleinberg (in Computer Networks and Communications)
Who trusts Ciya Liao
- Jimmy J. Lin (in Artificial Intelligence)
Papers from Ciya Liao's perspective
Ordered by how strongly the researchers Ciya Liao trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Optimizing search engines using clickthrough data
- Bagging Predictors
- Robust Real-Time Face Detection
- Experiments with a New Boosting Algorithm
- Cumulated gain-based evaluation of IR techniques
- A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Bursty and Hierarchical Structure in Streams (Data mining and knowledge discovery)
- Adapting ranking SVM to document retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
Their papers
- Early exit optimizations for additive machine learned ranking systems (2010) — 161 citations
- Towards recency ranking in web search (2010) — 205 citations