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» Structured Prediction with Relative Margin
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114
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MSOM
2007
118views more  MSOM 2007»
15 years 4 days ago
What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
Sergey Rumyantsev, Serguei Netessine
106
Voted
CEC
2009
IEEE
15 years 7 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
COGSCI
2004
120views more  COGSCI 2004»
15 years 14 days ago
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
CP
2003
Springer
15 years 5 months ago
Propagating N-Ary Rigid-Body Constraints
In this paper, we present an algorithm to propagate an n-ary constraint (with n greater than 2) specifying the relative positions of points in a three-dimensional rigid group. The ...
Ludwig Krippahl, Pedro Barahona
112
Voted
IJAR
2010
130views more  IJAR 2010»
14 years 11 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki