15 search results - page 2 / 3 » Learning Gradients: Predictive Models that Infer Geometry an... |
NIPS
2004
13 years 6 months ago
2004
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
EDM
2009
13 years 3 months ago
2009
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
BMCBI
2006
13 years 5 months ago
2006
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...