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ICML
2010
IEEE
15 years 7 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
CEC
2005
IEEE
16 years 7 days ago
Statistical optimisation and tuning of GA factors
This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is...
Andrei Petrovski, Alexander E. I. Brownlee, John A...
ACL
2009
15 years 4 months ago
Graph Ranking for Sentiment Transfer
With the aim to deal with sentiment-transfer problem, we proposed a novel approach, which integrates the sentiment orientations of documents into the graph-ranking algorithm. We a...
Qiong Wu, Songbo Tan, Xueqi Cheng
CPM
2004
Springer
86views Combinatorics» more  CPM 2004»
16 years 19 hour ago
Optimizing Multiple Spaced Seeds for Homology Search
Optimized spaced seeds improve sensitivity and specificity in local homology search. Several authors have shown that multiple seeds can have better sensitivity and specificity t...
Jinbo Xu, Daniel G. Brown, Ming Li, Bin Ma
TASLP
2002
111views more  TASLP 2002»
15 years 6 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot