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SIGIR
2012
ACM
13 years 8 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
ICMI
2003
Springer
96views Biometrics» more  ICMI 2003»
15 years 11 months ago
Learning and reasoning about interruption
We present methods for inferring the cost of interrupting users based on multiple streams of events including information generated by interactions with computing devices, visual ...
Eric Horvitz, Johnson Apacible
CIB
2005
41views more  CIB 2005»
15 years 6 months ago
A Partial-Repeatability Approach to Data Mining
Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neit...
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
DAC
2004
ACM
16 years 7 months ago
A novel approach for flexible and consistent ADL-driven ASIP design
Architecture description languages (ADL) have been established to aid the design of application-specific instruction-set processors (ASIP). Their main contribution is the automati...
Achim Nohl, Gunnar Braun, Hanno Scharwächter,...
WSC
2000
15 years 7 months ago
Using simulation to evaluate cargo ship design on the LPD17 program
As part of the design of the next generation Naval Amphibious Transport Dock Ship (LPD17), simulation was used to evaluate the arrangement and flow of cargo on the ship and to int...
Joseph Hugan