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» Classifier Combining Rules Under Independence Assumptions
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AAAI
2010
13 years 8 months ago
Convergence to Equilibria in Plurality Voting
Multi-agent decision problems, in which independent agents have to agree on a joint plan of action or allocation of resources, are central to AI. In such situations, agents' ...
Reshef Meir, Maria Polukarov, Jeffrey S. Rosensche...
NIPS
2004
13 years 8 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
MP
2006
84views more  MP 2006»
13 years 6 months ago
On the behavior of the homogeneous self-dual model for conic convex optimization
Abstract. There is a natural norm associated with a starting point of the homogeneous selfdual (HSD) embedding model for conic convex optimization. In this norm two measures of the...
Robert M. Freund
ICML
2004
IEEE
14 years 7 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer
CORR
2010
Springer
133views Education» more  CORR 2010»
13 years 6 months ago
Adapting to the Shifting Intent of Search Queries
Search engines today present results that are often oblivious to recent shifts in intent. For example, the meaning of the query `independence day' shifts in early July to a U...
Umar Syed, Aleksandrs Slivkins, Nina Mishra