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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
HPCA
2005
IEEE
16 years 7 months ago
Improving Multiple-CMP Systems Using Token Coherence
Improvements in semiconductor technology now enable Chip Multiprocessors (CMPs). As many future computer systems will use one or more CMPs and support shared memory, such systems ...
Michael R. Marty, Jesse D. Bingham, Mark D. Hill, ...
RECOMB
2005
Springer
16 years 7 months ago
Improved Pattern-Driven Algorithms for Motif Finding in DNA Sequences
Abstract. In order to guarantee that the optimal motif is found, traditional pattern-driven approaches perform an exhaustive search over all candidate motifs of length l. We develo...
Sing-Hoi Sze, Xiaoyan Zhao
MOBISYS
2007
ACM
16 years 6 months ago
Improving mobile database access over wide-area networks without degrading consistency
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 4 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...