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» Some Observations on Holographic Algorithms
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ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
AAAI
2008
13 years 10 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
ESE
2007
124views Database» more  ESE 2007»
13 years 8 months ago
A study of effectiveness of dynamic slicing in locating real faults
Dynamic slicing algorithms have been considered to aid in debugging for many years. However, as far as we know, no detailed studies on evaluating the benefits of using dynamic sl...
Xiangyu Zhang, Neelam Gupta, Rajiv Gupta
FS
2010
95views more  FS 2010»
13 years 6 months ago
Pricing credit derivatives under incomplete information: a nonlinear-filtering approach
This paper considers a general reduced form pricing model for credit derivatives where default intensities are driven by some factor process X. The process X is not directly observ...
Rüdiger Frey, Wolfgang Runggaldier
AR
2007
105views more  AR 2007»
13 years 8 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...