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» Learning with Weighted Transducers
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COLT
2006
Springer
14 years 27 days ago
Continuous Experts and the Binning Algorithm
Abstract. We consider the design of online master algorithms for combining the predictions from a set of experts where the absolute loss of the master is to be close to the absolut...
Jacob Abernethy, John Langford, Manfred K. Warmuth
NIPS
2003
13 years 10 months ago
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
Adria Bofill-i-Petit, Alan F. Murray
IDA
2010
Springer
13 years 7 months ago
Clustering with feature order preferences
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...
MSS
2010
IEEE
88views Hardware» more  MSS 2010»
13 years 7 months ago
Case-based belief formation under ambiguity
In this paper, we consider a decision-maker who tries to learn the distribution of outcomes from previously observed cases. For each observed database of cases the decision-maker ...
Jürgen Eichberger, Ani Guerdjikova
EMNLP
2009
13 years 7 months ago
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
Zhifei Li, Jason Eisner