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» Learning Instance-Specific Predictive Models
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130
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ICML
2004
IEEE
16 years 3 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
110
Voted
CHI
2004
ACM
16 years 2 months ago
Social learning through gaming
This position paper describes the implementation and initial findings of a game called Personal Investigator (PI). PI is an online 3D detective game that implements a model of Bri...
Elaine M. Raybourn, Annika Wærn
ACL
2008
15 years 3 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
106
Voted
OSDI
2008
ACM
16 years 2 months ago
An Internet Protocol Address Clustering Algorithm
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
Robert Beverly, Karen R. Sollins
NIPS
2004
15 years 3 months ago
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...