Demo Data from EDBT 2026 / reviewers in the wild / expert
David R. H. Miller
dblp:30/1012
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 77% Data mining · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › probabilistic graphical models
hidden markov model |
0.0 | 1 | 1999 | A Hidden Markov Model Information Retrieval System · SIGIR 1999 |
Information retrieval › relevance feedback
pseudo-relevance feedback |
0.0 | 1 | 1999 | A Hidden Markov Model Information Retrieval System · SIGIR 1999 |
Information retrieval
ranking |
0.0 | 1 | 1999 | A Hidden Markov Model Information Retrieval System · SIGIR 1999 |
Information retrieval
retrieval models |
0.0 | 1 | 1999 | A Hidden Markov Model Information Retrieval System · SIGIR 1999 |
Information retrieval › retrieval models
ad-hoc retrieval |
0.0 | 1 | 1999 | A Hidden Markov Model Information Retrieval System · SIGIR 1999 |
Methods — techniques the papers use, named apart from their topics
hidden markov model · 0.0bigram production · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Parameter tuning for fast speech recognition
Thomas Colthurst, Tresi Arvizo, Chia-Lin Kao, Owen Kimball, Stephen A. Lowe, David R. H. Miller, Jim Van Sciver |
INTERSPEECH | 6 |
| 2007 | Rapid and accurate spoken term detection
David R. H. Miller, Michael Kleber, Chia-Lin Kao, Owen Kimball, Thomas Colthurst, Stephen A. Lowe, Richard M. Schwartz, Herbert Gish |
INTERSPEECH | 1 |
| 1999 | A Hidden Markov Model Information Retrieval SystemabstractWe p r e s e n t a new method for information retrieval using hidden Markov models (HMMs).We d e v elop a general framework for incorporating multiple word generation mechanisms within the same model.We then demonstrate that an extremely simple realization of this model substantially outperforms standard tf :idf ranking on both the TREC-6 and TREC-7 ad hoc retrieval tasks.We go on to present a novel method for performing blind feedback in the HMM framework, a more complex HMM that models bigram production, and several other algorithmic re nements.Together, these methods form a state-of-the-art retrieval system that ranked among the best on the TREC-7 ad hoc retrieval task. David R. H. Miller, Tim Leek, Richard M. Schwartz |
SIGIR | 1 |