- Active Learning by Sequential Optimal Recovery Partha Niyogi
- Tensor Subspace Analysis Xiaofei He1
- MULTIPLE CLASSIFIERS BY CONSTRAINED MINIMIZATION Partha Niyogi Jean-Benoit Pierrot
- Appendix to: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
- DISTINCTIVE FEATURE DETECTION USING SUPPORT VECTOR MACHINES Partha Niyogi, Chris Burges, and Padma Ramesh
- Baltzer Journals September 2, 1998 Generalization Bounds for Function Approximation
- The Logical Problem of Language Change: A Case Study of European Portuguese
- A Dynamical Systems Model for Language Change
- Sampling Hypersurfaces through Diffusion Hariharan Narayanan and Partha Niyogi
- (YD) epoch in the North Atlantic region and to the warming interval after the ACR in
- Computational and evolutionary aspects of language
- Detecting and Interpreting Acoustic Features by Support Vector Machines
- A Topological View of Unsupervised Learning from Noisy Data
- Finding the Homology of Submanifolds with High Confidence from Random
- Laplacian Score for Feature Selection Xiaofei He1
- Regularization and Semi-supervised Learning on Large Graphs
- Advances in Computational Mathematics (2006) 25: 161193 Springer 2006 Learning theory: stability is sufficient for generalization
- Robust Acoustic-Based Syllable Detection Zhimin Xie, Partha Niyogi
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- Feature Based Representation for Audio-Visual Speech Recognition Partha Niyogi, Eric Petajan, Jialin Zhong
- Journal of Machine Learning Research 7 (2006) 2399-2434 Submitted 4/05; Revised 5/06; Published 11/06 Manifold Regularization: A Geometric Framework for Learning from
- Almost-everywhere algorithmic stability and generalization error
- The Computational Study of Diachronic Linguistics
- Locality Preserving Projections (LPP) Xiaofei He Partha Niyogi
- MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY
- Discriminative Gaussian Mixture Models for Speaker Identification
- Semisupervised learning on manifolds Mikhail Belkin \Lambda Partha Niyogi y
- Populations of Learners: the Case of Portuguese Partha Niyogi (NIYOGI@RESEARCH.BELLLABS.COM)
- Convergence of Laplacian Eigenmaps Mikhail Belkin
- Manifold Regularization and Semi-supervised Learning: Some
- A Probabilistic Speech Recognition Framework Based on the Temporal Dynamics of
- A Geometric Perspective on Speech Sounds A. Jansen # and P. Niyogi +
- The interaction of stability and weakness in Samuel Kutin Partha Niyogi
- PERSPECTIVES FROM THE INFORMATIONAL COMPLEXITY OF LEARNING Partha Niyogi
- MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY
- General conditions for predictivity in learning theory
- Quantifying the functional load of phonemic oppositions, distinctive features, and suprasegmentals
- Semi-Supervised Learning on Riemannian Manifolds Mikhail Belkin, Partha Niyogi
- INTRINSIC FOURIER ANALYSIS ON THE MANIFOLD OF SPEECH SOUNDS Aren Jansen
- Face Recognition Using Laplacianfaces , Shuicheng Yan
