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» A risk minimization framework for information retrieval
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SIGIR
2002
ACM
13 years 7 months ago
Improving realism of topic tracking evaluation
Topic tracking and information filtering are models of interactive tasks, but their evaluations are generally done in a way that does not reflect likely usage. The models either f...
Anton Leuski, James Allan
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
14 years 8 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
ICML
2006
IEEE
14 years 8 months ago
Personalized handwriting recognition via biased regularization
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...
Wolf Kienzle, Kumar Chellapilla
ICML
2008
IEEE
14 years 8 months ago
Query-level stability and generalization in learning to rank
This paper is concerned with the generalization ability of learning to rank algorithms for information retrieval (IR). We point out that the key for addressing the learning proble...
Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang...
ECIR
2009
Springer
14 years 4 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell