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» A Two-Level Approach to Making Class Predictions
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ICML
2004
IEEE
15 years 10 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
WINE
2010
Springer
144views Economy» more  WINE 2010»
14 years 7 months ago
An Axiomatic Characterization of Continuous-Outcome Market Makers
Abstract. Most existing market maker mechanisms for prediction markets are designed for events with a finite number of outcomes. All known attempts on designing market makers for f...
Xi Alice Gao, Yiling Chen
BALT
2010
14 years 4 months ago
Bringing Domain Knowledge to Pattern Matching
Abstract. This paper addresses the pattern matching problem for model transformation languages. Despite being an NP-complete problem, the pattern matching can be solved efficiently...
Agris Sostaks
122
Voted
JMLR
2010
121views more  JMLR 2010»
14 years 4 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
BMCBI
2006
114views more  BMCBI 2006»
14 years 9 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...