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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
AIEDAM
2007
191views more  AIEDAM 2007»
13 years 8 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
ICALT
2007
IEEE
13 years 8 months ago
Organizational Memory towards School Customs Constructing
School custom is the base of its sustainable development ability. Addressing the present dilemma of constructing the school customs, the paper argued school organizational knowled...
Yueliang Zhou, Jingyao Wang
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 7 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
CP
2009
Springer
14 years 2 months ago
Why Cumulative Decomposition Is Not as Bad as It Sounds
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
Andreas Schutt, Thibaut Feydy, Peter J. Stuckey, M...