no code implementations • 8 Mar 2024 • Harald Steck, Chaitanya Ekanadham, Nathan Kallus
Cosine-similarity is the cosine of the angle between two vectors, or equivalently the dot product between their normalizations.
no code implementations • 14 Feb 2017 • Chaitanya Ekanadham, Yan Karklin
We develop T-SKIRT: a temporal, structured-knowledge, IRT-based method for predicting student responses online.
1 code implementation • 8 Apr 2016 • Kevin H. Wilson, Yan Karklin, Bojian Han, Chaitanya Ekanadham
Estimating student proficiency is an important task for computer based learning systems.
no code implementations • NeurIPS 2012 • Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
We develop a probabilistic generative model for representing acoustic event structure at multiple scales via a two-stage hierarchy.
no code implementations • NeurIPS 2011 • Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Most current methods are based on clustering, which requires substantial human supervision and produces systematic errors by failing to properly handle temporally overlapping spikes.
no code implementations • NeurIPS 2007 • Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
This suggests that our sparse variant of deep belief networks holds promise for modeling more higher-order features.