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STOC
1993
ACM
117views Algorithms» more  STOC 1993»
14 years 27 days ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
VLDB
2007
ACM
122views Database» more  VLDB 2007»
14 years 9 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
NIPS
2008
13 years 10 months ago
A Scalable Hierarchical Distributed Language Model
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Andriy Mnih, Geoffrey E. Hinton
SIGIR
2003
ACM
14 years 2 months ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...
MICCAI
2007
Springer
14 years 9 months ago
A New Benchmark for Shape Correspondence Evaluation
This paper introduces a new benchmark study of evaluating landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-correspondence eval...
Brent C. Munsell, Pahal Dalal, Song Wang