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» Learning the k in k-means
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WWW
2005
ACM
16 years 7 months ago
Online curriculum on the semantic Web: the CSD-UoC portal for peer-to-peer e-learning
Online Curriculum Portals aim to support networks of instructors and learners by providing a space of convergence for enhancing peer-to-peer learning interactions among individual...
Dimitris Kotzinos, Sofia Pediaditaki, Apostolos Ap...
EUROCOLT
1997
Springer
15 years 10 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
HICSS
2012
IEEE
296views Biometrics» more  HICSS 2012»
14 years 2 months ago
Sparking Creativity: Improving Electronic Brainstorming with Individual Cognitive Priming
In recent years, there has been growing interest in the study of individual cognition in teams. Meanwhile, we learned that much of human behavior involves nonconscious cognition. ...
Alan R. Dennis, Randall K. Minas, Akshay Bhagwatwa...
SIGCSE
2012
ACM
310views Education» more  SIGCSE 2012»
14 years 1 months ago
CSTutor: a pen-based tutor for data structure visualization
We present CSTutor, a sketch-based interface designed to help students understand data structures. It currently supports Linked Lists, Binary Search Trees, AVL Trees, and Heaps, a...
Sarah Buchanan, Brandon Ochs, Joseph J. LaViola Jr...
JMLR
2012
13 years 8 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre