Search Results for author: Daphne Koller

Found 11 papers, 1 papers with code

Peptide-Spectra Matching from Weak Supervision

no code implementations20 Aug 2018 Samuel S. Schoenholz, Sean Hackett, Laura Deming, Eugene Melamud, Navdeep Jaitly, Fiona McAllister, Jonathon O'Brien, George Dahl, Bryson Bennett, Andrew M. Dai, Daphne Koller

As in many other scientific domains, we face a fundamental problem when using machine learning to identify proteins from mass spectrometry data: large ground truth datasets mapping inputs to correct outputs are extremely difficult to obtain.

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

1 code implementation12 Jul 2018 Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

Motivated by the study of human aging, we present an interpretable latent-variable model that learns temporal dynamics from cross-sectional data.

Time Series

Tuned Models of Peer Assessment in MOOCs

no code implementations9 Jul 2013 Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, Daphne Koller

In massive open online courses (MOOCs), peer grading serves as a critical tool for scaling the grading of complex, open-ended assignments to courses with tens or hundreds of thousands of students.

Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)

no code implementations19 Jan 2013 John Breese, Daphne Koller

This is the Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, which was held in Seattle, WA, August 2-5 2001

Active Classification based on Value of Classifier

no code implementations NeurIPS 2011 Tianshi Gao, Daphne Koller

Many of these tasks are tackled by constructing a set of classifiers, which are then applied at test time and then pieced together in a fixed procedure determined in advance or at training time.

Classification General Classification

Region-based Segmentation and Object Detection

no code implementations NeurIPS 2009 Stephen Gould, Tianshi Gao, Daphne Koller

Object detection and multi-class image segmentation are two closely related tasks that can be greatly improved when solved jointly by feeding information from one task to the other.

General Classification Object Detection +1

Learning a Small Mixture of Trees

no code implementations NeurIPS 2009 M. P. Kumar, Daphne Koller

The problem of approximating a given probability distribution using a simpler distribution plays an important role in several areas of machine learning, e. g. variational inference and classification.

Face Recognition Variational Inference

Cascaded Classification Models: Combining Models for Holistic Scene Understanding

no code implementations NeurIPS 2008 Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller

We demonstrate the effectiveness of our method on a large set of natural images by combining the subtasks of scene categorization, object detection, multiclass image segmentation, and 3d scene reconstruction.

3D Reconstruction 3D Scene Reconstruction +5

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