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ECIR
2011
Springer
14 years 8 months ago
Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
Peng Cai, Wei Gao, Kam-Fai Wong, Aoying Zhou
ATAL
2008
Springer
15 years 6 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
MMSP
2008
IEEE
125views Multimedia» more  MMSP 2008»
15 years 11 months ago
Distortion evaluation in transform domain for adaptive lifting schemes
Abstract—In this paper we study the problem of evaluating the reconstruction distortion in the wavelet domain when adaptive lifting schemes (ALS) are used for the direct and inve...
Sara Parrilli, Marco Cagnazzo, Béatrice Pes...
EMNLP
2007
15 years 6 months ago
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
Kenji Sagae, Jun-ichi Tsujii
ICC
2007
IEEE
121views Communications» more  ICC 2007»
15 years 11 months ago
Low Complexity Adaptive Turbo Frequency-Domain Channel Estimation for Single-Carrier Multi-User Detection with Unknown Co-Channe
—Adaptive Turbo frequency-domain channel estimation is investigated for single-carrier (SC) multi-user detection in the presence of unknown co-channel interference (CCI). We prop...
Ye Wu, Xu Zhu, Asoke K. Nandi