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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
DAWAK
2006
Springer
14 years 1 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
KDD
2000
ACM
114views Data Mining» more  KDD 2000»
14 years 1 months ago
Learning Prosodic Patterns for Mandarin Speech Synthesis
Higher quality synthesized speech is required for widespread use of text-to-speech (TTS) technology, and prosodic pattern is the key feature that makes synthetic speech sound unna...
Yiqiang Chen, Wen Gao, Tingshao Zhu
LREC
2010
166views Education» more  LREC 2010»
13 years 11 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
IJCAI
2007
13 years 11 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern