Sciweavers

1380 search results - page 215 / 276
» Learning Hierarchical Shape Models from Examples
Sort
View
ECML
1993
Springer
14 years 2 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
AAAI
2012
12 years 14 days ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
13 years 9 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk
CHI
1999
ACM
14 years 2 months ago
Cooperative Inquiry: Developing new Technologies for Children with Children
In today’s homes and schools, children are emerging as frequent and experienced users of technology [3, 14]. As this trend continues, it becomes increasingly important to ask if...
Allison Druin
JIRS
2000
144views more  JIRS 2000»
13 years 10 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...