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» On learning in agent-centered search
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ECML
2007
Springer
14 years 1 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
CACM
2010
161views more  CACM 2010»
13 years 5 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
12 years 11 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
EMNLP
2011
12 years 7 months ago
Syntax-Based Grammaticality Improvement using CCG and Guided Search
Machine-produced text often lacks grammaticality and fluency. This paper studies grammaticality improvement using a syntax-based algorithm based on CCG. The goal of the search pr...
Yue Zhang 0004, Stephen Clark
EXPERT
1998
83views more  EXPERT 1998»
13 years 7 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski