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» Dimensions of machine learning in design
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BMCBI
2010
98views more  BMCBI 2010»
13 years 9 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
CIKM
1999
Springer
14 years 1 months ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin
CORR
2006
Springer
111views Education» more  CORR 2006»
13 years 9 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
NIPS
2007
13 years 10 months ago
Stability Bounds for Non-i.i.d. Processes
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Mehryar Mohri, Afshin Rostamizadeh
SIGMOD
2012
ACM
242views Database» more  SIGMOD 2012»
11 years 11 months ago
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
Pengcheng Xiong