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» Active learning with direct query construction
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ICML
1998
IEEE
14 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 1 months ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 26 days ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
VLDB
1991
ACM
196views Database» more  VLDB 1991»
13 years 11 months ago
Kaleidoscope Data Model for An English-like Query Language
Most database interfaces provide poor guidance on ad hoc query formulation, burdening users to learn, and to recall precisely the query language and the database. Kaleidoscope avo...
Sang Kyun Cha, Gio Wiederhold
AAAI
2008
13 years 9 months ago
Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., &q...
Sean Igo, Ellen Riloff