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ICML
2009
IEEE
14 years 8 months ago
On sampling-based approximate spectral decomposition
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
IWINAC
2005
Springer
14 years 1 months ago
Spatial navigation based on novelty mediated autobiographical memory
This paper presents a method for spatial navigation performed mainly on past experiences. The past experiences are remembered in their temporal context, i.e. as episodes of events....
Emilia I. Barakova, Tino Lourens
AAAI
2010
13 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 8 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
ITS
2010
Springer
168views Multimedia» more  ITS 2010»
14 years 10 days ago
Computational Workflows for Assessing Student Learning
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
Jun Ma, Erin Shaw, Jihie Kim