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» How to process uncertainty in machine learning
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SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
12 years 10 months ago
The SystemT IDE: an integrated development environment for information extraction rules
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion
— There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
Jonas Buchli, Fumiya Iida, Auke Jan Ijspeert
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 12 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
LREC
2008
180views Education» more  LREC 2008»
13 years 9 months ago
Do we Still Need Gold Standards for Evaluation?
The availability of a huge mass of textual data in electronic format has increased the need for fast and accurate techniques for textual data processing. Machine learning and stat...
Thierry Poibeau, Cédric Messiant
AAAI
1994
13 years 9 months ago
Corpus-Driven Knowledge Acquisition for Discourse Analysis
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
Stephen Soderland, Wendy G. Lehnert