| R. Dubois (ESPCI), B. Quenet (ESPCI), Y. Faisandier (Ela Medical), G. Dreyfus (ESPCI) Modeling beats with bumps |
| Tanzeem Choudhury and Alex Pentland The Sociometer: A Wearable Device for Learning Human Networks |
| Fu Jie Huang, Leon Bottou, Yann LeCun Lush: The Programming Language for Research |
| Nando de Freitas, Asher Lipson and Eric Brochu (University of British Columbia) Learning Human-Like Play in Computer Games |
| G. Lanckriet, L. El Ghaoui, M. Jordan Second-Order Cone Programming for Feature Selection in SVMs |
| R. Caruana (Cornell), C. Chiu (Cornell), G. Crew (Cornell), K. Kawaguchi (Cornell), A. Ksikes (Cornell), A. Niculescu (Cornell) Extreme Selection Ensembles |
| Andrew McCallum (UMass), and Fang-Fang Feng (UMass) Chinese Word Segmentation with Conditional Random Fields and Integrated Domain Knowledge |
| Sumit Basu (Microsoft Research) Learning Variations in Conversational Patterns |
| Bar-Joseph, Z. (MIT) Optimal Leaf Ordering for Gene Expression and Image Compression |
| S. Still and W. Bialek How many clusters? An information theoretic approach |
| N. Vasconcelos (HP/UCSD) Information-theoretic feature selection: classification optimality, connections to image statistics, and efficient algorithms |
| B. Kim (CBCL, MIT), Y. Ivanov (Honda Research Institute; CBCL, MIT), T. Poggio (CBCL, MIT) Classifier Combination for Sequence Analysis |
| H. Steck and T. S. Jaakkola (MIT AI Lab) (Semi-)Predictive Discretization during Model Selection |
| S.Roweis, Q. Morris, C. Pal, B. Frey (U. Toronto) Probabilistic Block Clustering |
| Volker Tresp and Anton Schwaighofer (Siemens) Decomposable Cluster Analysis |
| G. Grudic (University of Colorado at Boulder), and T. Strohmann (University of Colorado at Boulder) Minimax Probability Machine Regression |
| S. Zelikovitz(CUNY) and H. Hirsh (Rutgers) Integrating Background Knowledge with Text Classifiers |
| S. Agarwal (Univ. Illinois at Urbana-Champaign), and D. Roth (Univ. Illinois at Urbana-Champaign) Minimum Risk Feature Transformations |
| V. Roth (U. Bonn), T. Lange (U. Bonn) Bayesian Relevance Determination for Feature Selection in Clustering Problems |
| Frank Dellaert, Zia Khan and Tucker Balch (Georgia Institute of Technology) Mixture Trees for Density Estimation and Fast Conditional Sampling |
| Ben-David, S., (Cornell), Gehrke, J., (Cornell) and Schuller, R., (Cornell) A Statistical Learning Approach to Data Mining Issues |
| Y. Bengio (U. de Montréal) Y. Grandvalet (U. de Montréal/CNRS) Estimators of variance for K-fold Cross-Validation |
| Sofus A. Macskassy (Leonard N. Stern School of Business, NYU), Haym Hirsh (Rutgers University) Adding Numbers to Text Classification |
| D. McAllester (TTI Chicago) Simplified PAC-Bayesian Margin Bounds |
| C. Raphael (Univ. of Massachusetts) Computer-Generated Orchestral Accompaniment of a Soloist |
| Oliver Downs (Princeton University) Quantum Mechanics for Global Optimization |
| C. Antunes (INESC-ID / IST ) and Arlindo L. Oliveira (INESC-ID / IST) Efficient Algorithms for Sequential Pattern Mining with Maximum Gap Constraints |
| Kevin Murphy, Place recognition using a wearable camera |
| P. Vincent (Montreal) and Y. Bengio (Montreal) Density-Sensitive Metrics and Kernels |
| Vicente López (Universitat Pompeu Fabra) F.B. Rodríguez, A. Suárez (Universidad Autónoma de Madrid) Mesoscopic Stability of Cluster Dynamics in Populations of Integrate and Fire Neurons |
| G. Towell, J. Saponara, J. O'Ruanaidh, F. Coetzee (all Genuone Inc.) Finding Internet Piracy |
| Joel Castellanos (U. New Mexico), Curtis Sirl-Moore (U. of New Mexio), and Lance R. Williams (U. New Mexico) Automatic Synthesis of Isotropic Textures on Subdivision Surfaces from Sample Images |
| O. Chapelle, J. Weston and B. Schoelkopf (MPI) Two Directions for Semi-Supervised Learning |
| Dragos Margineantu (Boeing) Active Cost-Sensitive Learning |
| Mark J. Embrechts/Rensselaer Polytechnic Institute Least Squares Support Vector Machines for Molecular Design:Feature Selection and Regularization |
| J. Wu(Georgia Tech), J. Rehg (Georgia Tech), and M. Mullin (Georgia Tech) Simultaneous feature selection and ensemble classifier design |
| A. Banerjee (UT Austin), and J. Ghosh (UT Austin) Mean Model Clustering |
| Valery A. Petrushin, Gang Wei, Anatole V. Gershman (all at Accenture Technology Labs) Community of Multimedia Agents: First Steps |
| J. Langford (IBM) Interactive Proofs of Learning |
| L.Gurvits (LANL) Reproducing kernels , fast randomized interpolations (smoothing ) of analytic multivariable |
| Frans M. Coetzee (GenuOne, Inc.) When the Kullback-Leibler Distance Yields Suboptimal Features |
| Adrian Silvescu and Vasant Honavar, Iowa State University Ontology elicitation: Structural Abstraction = Structuring + Abstraction + Multiple Ontologies |
| S. Cohen (Tel-Aviv U), and N. Intrator (Tel-Aviv and Brown U) Construction of a hybrid projection/radial architecture |
| C.Alippi (Politecnico di Milano) THE ACCURACY-ROBUSTNESS ISSUE IN NEURAL NETWORKS: SMALL PERTURBATIONS AND RANDOMIZED ALGORITHMS-BASED ANALYSES |
| Valery A. Petrushin (Accenture Technology Labs) Speech Signal Segmentation into Quasi-periodical Units |
| Dr.Robert Kozma,(University of memphis) Asha Kalidindi(University of memphis) BUILDING COGNITIVE MAPS FOR NAVIGATION IN SOFTWARE AGENTS |
| B. Kappen, K. Albers, T. Heskes, W. Wiegerinck (U Nijmegen) The Cluster Variation Method for approximate inference |
| Vijay Konda (U. Maryland), and John N. Tsitsiklis (MIT) Actor-Critic Algorithms and Variance Reduction in Reinforcement Learning |