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19952023
most citedTransNets: Learning to Transform for Recommendation

291 citations · 3k across the 73 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.LG2013

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch

Partha Pratim Talukdar, William Cohen

Graph-based Semi-supervised learning (SSL) algorithms have been successfully used in a large number of applications. These methods classify initially unlabeled nodes by propagating…

cs.LG2013★ 7 cited

WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction

Bhavana Dalvi, William W. Cohen, Jamie Callan

We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluster…

cs.LG2013

Exploratory Learning

Bhavana Dalvi, William W. Cohen, Jamie Callan

In multiclass semi-supervised learning (SSL), it is sometimes the case that the number of classes present in the data is not known, and hence no labeled examples are provided for s…

cs.AI2013

The Effect of Biased Communications On Both Trusting and Suspicious Voters

William W. Cohen, David P. Redlawsk, Douglas Pierce

In recent studies of political decision-making, apparently anomalous behavior has been observed on the part of voters, in which negative information about a candidate strengthens,…

cs.AI2013★ 25 cited

Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic

William Yang Wang, Kathryn Mazaitis, William W. Cohen

In many probabilistic first-order representation systems, inference is performed by "grounding"---i.e., mapping it to a propositional representation, and then performing propositio…