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» Learning From Ambiguous Examples
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145
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LREC
2008
180views Education» more  LREC 2008»
15 years 4 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
DAGSTUHL
1996
15 years 3 months ago
What Not to Do When Writing an Interpreter for Specialisation
A partial evaluator, given a program and a known "static" part of its input data, outputs a specialised or residual program in which computations depending only on the st...
Neil D. Jones
BMCBI
2010
224views more  BMCBI 2010»
15 years 2 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
152
Voted
SCAI
1993
15 years 3 months ago
A Case-Based Answer to Some Problems of Knowledge-Based Systems
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
Agnar Aamodt
JSA
2006
97views more  JSA 2006»
15 years 2 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...