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- Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu
- ICML
- 2013

We introduce Deep Canonical Correlation Analysis (DCCA), a method to learn complex nonlinear transformations of two views of data such that the resulting representations are highly linearlyâ€¦ (More)

- Galen Andrew, Jianfeng Gao
- ICML
- 2007

The L-BFGS limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with <i>L</i><inf>2</inf> regularization, but it cannot be usedâ€¦ (More)

- Huihsin Tseng, Pi-Chuan Chang, Galen Andrew, Daniel Jurafsky, Christopher D. Manning
- SIGHAN@IJCNLP 2005
- 2005

We present a Chinese word segmentation system submitted to the closed track of Sighan bakeoff 2005. Our segmenter was built using a conditional random field sequence model that provides a frameworkâ€¦ (More)

- Roger Levy, Galen Andrew
- LREC
- 2006

Abstract With syntactically annotated corpora becoming increasingly available for a variety of languages and grammatical frameworks, tree query tools have proven invaluable to linguists and computerâ€¦ (More)

- Grant S Mastick, N. M. Davis, Galen Andrew, Stephen S. Easter
- Development
- 1997

The Pax-6 gene encodes a transcription factor that is expressed in regionally restricted patterns in the developing brain and eye. Here we describe Pax-6 expression in the early forebrainâ€¦ (More)

- Galen Andrew
- EMNLP
- 2006

Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the type of features theyâ€¦ (More)

This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics community: Maximumâ€¦ (More)

- Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
- IJCAI
- 2003

In this paper we present an approach to the task of generating and resolving referring expressions (REs) for conversational mobile robots. It is based on a spatial knowledge base encompassing bothâ€¦ (More)

We present a method for training recurrent neural networks to act as near-optimal feedback controllers. It is able to generate stable and realistic behaviors for a range of dynamical systems andâ€¦ (More)

Hard computational problems are often solvable by multiple algorithms that each perform well on different problem instances. We describe techniques for building an algorithm portfolio that canâ€¦ (More)