| **Vacillatory and BC learning on noisy data** - *John Case, Sanjay Jain and Frank Stephan* - 2000 |

| **Vacillatory learning of nearly-minimal size grammars** - *John Case, Sanjay Jain and Arun Sharma* - 1994 |

| **The Valiant Learning Model: Extensions and Assessment** - *J. Amsterdam* - January 1988 |

| **Validation of Text Clustering Based on Document Contents** - *Jarmo Toivonen, Ari Visa, Tomi Vesanen, Barbro Back and Hannu Vanharanta* - 2001 |

| **Valid Generalisation of Functions from Close Approximations on a Sample** - *M. Anthony and J. Shawe-Taylor* - 1994 |

| **Value function based production scheduling** - *Jeff G. Schneider, Justin A. Boyan and Andrew W. Moore* - 1998 |

| **Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry** - *Katja Gelbrich and Reza Nakhaeizadeh* - 2000 |

| **The Vapnik-Chervonenkis Dimension: Information verses Complexity in Learning** - *Y. S. Abu-Mostafa* - 1989 |

| **Vapnik-Chervonenkis dimension of recurrent neural networks** - *Pascal Koiran and Eduardo D. Sontag* - 1997 |

| **Variable Resolution Discretization in Optimal Control** - *Rémi Munos and Andrew Moore* - 2002 |

| **VC dimension and sampling complexity of learning sparse polynomials and rational functions** - *Marek Karpinski and Thorsten Werther* - 1994 |

| **VC dimension of an integrate-and-fire neuron model** - *Anthony M. Zador and Barak A. Pearlmutter* - 1996 |

| **The VC-Dimension of Subclasses of Pattern Languages** - *Andrew Mitchell, Tobias Scheffer, Arun Sharma and Frank Stephan* - 1999 |

| **The VC-Dimensions of Finite Automata with n States** - *Yoshiyasu Ishigami and Sei'ichi Tani* - 1993 |

| **The VC-dimension vs. the statistical capacity for two layer networks with binary weights** - *C. Ji and D. Psaltis* - 1991 |

| **Vector Quantization in Speech Coding** - *J. Makhoul, S. Roucos and H. Gish* - November 1985 |

| **Version Space Algebra and its Application to Programming by Demonstration** - *Tessa Lau, Pedro Domingos and Daniel S. Weld* - 2000 |

| **A Version Space Approach to Learning Context-free Grammars** - *Kurt Vanlehn and William Ball* - 1987 |

| **Version Spaces: A Candidate Elimination Approach to Rule Learning** - *T. M. Mitchell* - August 1977 |

| **Very Simple Classification Rules Perform Well on Most Commonly Used Datasets** - *Robert C. Holte* - 1993 |

| **Viewing all models as `probabilistic'** - *Peter Grünwald* - 1999 |

| **A view of computational learning theory** - *Leslie Valiant* - 1991 |

| **Visual Development and the Acquisition of Binocular Disparity Sensitivities** - *Melissa Dominguez and Robert A. Jacobs* - 2001 |

| **Visualization and Analysis of Web Graphs** - *Sachio Hirokawa and Daisuke Ikeda* - 2001 |

| **Visualizing high-dimensional structure with the incremental grid-growing neural network** - *Justine Blackmore and Risto Miikkulainen* - 1995 |

| **Voting Nearest-Neighbor Subclassifiers** - *Miroslav Kubat and Jr. Martin Cooperson* - 2000 |