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» Learning to rank with partially-labeled data
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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
14 years 12 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
AAAI
2008
15 years 4 months ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
92
Voted
WWW
2003
ACM
16 years 2 months ago
Adaptive ranking of web pages
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It...
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Ma...
SIGDIAL
2010
14 years 11 months ago
Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Manuel Kirschner, Raffaella Bernardi
PVLDB
2008
131views more  PVLDB 2008»
15 years 1 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...