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- IBM Research - Thomas J. Watson Research CenterUS46 papers
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19 papers · 1 filter
Mass-to-Light versus Color Relations for Dwarf Irregular Galaxies
Kimberly A. Herrmann, Deidre A. Hunter, Hong-Xin Zhang +1
We have determined new relations between colors and mass-to-light ratios () for dwarf irregular (dIrr) galaxies, as well as for transformed . These…
A Sparse Nonlinear Classifier Design Using AUC Optimization
Vishal Kakkar, Shirish K. Shevade, S Sundararajan +1
AUC (Area under the ROC curve) is an important performance measure for applications where the data is highly imbalanced. Learning to maximize AUC performance is thus an important r…
Robust Local Scaling using Conditional Quantiles of Graph Similarities
Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy +1
Spectral analysis of neighborhood graphs is one of the most widely used techniques for exploratory data analysis, with applications ranging from machine learning to social sciences…
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati, Feifei Zhai, Bowen Zhou
We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or compara…
Show me the material evidence: Initial experiments on evaluating hypotheses from user-generated multimedia data
Bernardo Gonçalves
Subjective questions such as `does neymar dive', or `is clinton lying', or `is trump a fascist', are popular queries to web search engines, as can be seen by autocompletion suggest…
What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong +3
Recurrent neural network grammars (RNNG) are a recently proposed probabilistic generative modeling family for natural language. They show state-of-the-art language modeling and par…