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SIGIR
2012
ACM
12 years 12 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
119
Voted
PODC
2012
ACM
12 years 12 months ago
Byzantine broadcast in point-to-point networks using local linear coding
The goal of Byzantine Broadcast (BB) is to allow a set of fault-free nodes to agree on information that a source node wants to broadcast to them, in the presence of Byzantine faul...
Guanfeng Liang, Nitin H. Vaidya
108
Voted
PODC
2012
ACM
12 years 12 months ago
On the (limited) power of non-equivocation
In recent years, there have been a few proposals to add a small amount of trusted hardware at each replica in a Byzantine fault tolerant system to cut back replication factors. Th...
Allen Clement, Flavio Junqueira, Aniket Kate, Rodr...
ICDT
2012
ACM
251views Database» more  ICDT 2012»
12 years 12 months ago
Computing universal models under guarded TGDs
A universal model of a database D and a set Σ of integrity constraints is a database that extends D, satisfies Σ, and is most general in the sense that it contains sound and co...
André Hernich
AAAI
2012
12 years 11 months ago
Strategic Advice Provision in Repeated Human-Agent Interactions
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...
Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claud...
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