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» Information Theory, Inference, and Learning Algorithms
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SIGIR
2012
ACM
11 years 10 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
SAGT
2010
Springer
175views Game Theory» more  SAGT 2010»
13 years 6 months ago
On Learning Algorithms for Nash Equilibria
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
Constantinos Daskalakis, Rafael Frongillo, Christo...
BVAI
2007
Springer
14 years 2 months ago
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna ...
JMLR
2010
149views more  JMLR 2010»
13 years 2 months ago
Coherent Inference on Optimal Play in Game Trees
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
Philipp Hennig, David H. Stern, Thore Graepel
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
14 years 26 days ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano