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108
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COGSCI
2010
107views more  COGSCI 2010»
15 years 1 months ago
Inferring Hidden Causal Structure
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...
96
Voted
CORR
2008
Springer
120views Education» more  CORR 2008»
15 years 1 months ago
A new distance for high level RNA secondary structure comparison
We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two new operations, called node fusion and edge fusion, besides the t...
Julien Allali, Marie-France Sagot
JMLR
2006
115views more  JMLR 2006»
15 years 1 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
111
Voted
INFORMATICALT
2002
103views more  INFORMATICALT 2002»
15 years 23 days ago
Numerical Representations as Purely Functional Data Structures: a New Approach
This paper is concerned with design, implementation and verification of persistent purely functional data structures which are motivated by the representation of natural numbers us...
Mirjana Ivanovic, Viktor Kuncak
111
Voted
EMNLP
2011
14 years 25 days ago
Heuristic Search for Non-Bottom-Up Tree Structure Prediction
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Andrea Gesmundo, James Henderson