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» User adaptation: good results from poor systems
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ANLP
2000
114views more  ANLP 2000»
13 years 10 months ago
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen
HPCA
1998
IEEE
14 years 1 months ago
Address Translation Mechanisms In Network Interfaces
Good network hardware performance is often squandered by overheads for accessing the network interface (NI) within a host. NIs that support user-level messaging avoid frequent ope...
Ioannis Schoinas, Mark D. Hill
RECSYS
2009
ACM
14 years 1 months ago
Critiquing recommenders for public taste products
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Pearl Pu, Maoan Zhou, Sylvain Castagnos
TKDE
2008
116views more  TKDE 2008»
13 years 9 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
JSAC
2008
106views more  JSAC 2008»
13 years 9 months ago
A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems
We consider large MIMO systems, where by `large' we mean number of transmit and receive antennas of the order of tens to hundreds. Such large MIMO systems will be of immense i...
K. Vishnu Vardhan, Saif K. Mohammed, Ananthanaraya...