Thomas R. Hancock

1998
19	EE	Long-Ji Lin, Thomas R. Hancock, J. Stephen Judd: A robust landmark-based system for vehicle location using low-bandwidth vision. Robotics and Autonomous Systems 25(1-2): 19-32 (1998)
1996
18		Thomas R. Hancock, Tao Jiang, Ming Li, John Tromp: Lower Bounds on Learning Decision Lists and Trees. Inf. Comput. 126(2): 114-122 (1996)
17		Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar: Asking Questions to Minimize Errors. J. Comput. Syst. Sci. 52(2): 268-286 (1996)
16		Thomas R. Hancock: Guest Editor's Introduction. Machine Learning 25(2-3): 115-116 (1996)
15	EE	Mostefa Golea, Mario Marchand, Thomas R. Hancock: On learning ?-perceptron networks on the uniform distribution. Neural Networks 9(1): 67-82 (1996)
1995
14		Thomas R. Hancock, Tao Jiang, Ming Li, John Tromp: Lower Bounds on Learning Decision Lists and Trees (Extended Abstract). STACS 1995: 527-538
13		Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein: Learning Boolean Read-Once Formulas over Generalized Bases. J. Comput. Syst. Sci. 50(3): 521-542 (1995)
12		Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein: Learning Arithmetic Read-Once Formulas. SIAM J. Comput. 24(4): 706-735 (1995)
1994
11		Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein, Marek Karpinski: An Algorithm to Learn Read-Once Threshold Formulas, and Transformations Between Learning Models. Computational Complexity 4: 37-61 (1994)
10		Thomas R. Hancock, Mostefa Golea, Mario Marchand: Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries. Machine Learning 16(3): 161-183 (1994)
1993
9	EE	Thomas R. Hancock: Learning kµ Decision Trees on the Uniform Distribution. COLT 1993: 352-360
8	EE	Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar: Asking Questions to Minimize Errors. COLT 1993: 41-50
1992
7	EE	Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein: Learning Boolean Read-Once Formulas with Arbitrary Symmetric and Constant Fan-in Gates. COLT 1992: 1-15
6	EE	Mostefa Golea, Mario Marchand, Thomas R. Hancock: On Learning µ-Perceptron Networks with Binary Weights. NIPS 1992: 591-598
5		Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein: Learning Arithmetic Read-Once Formulas STOC 1992: 370-381
1991
4	EE	Thomas R. Hancock, Yishay Mansour: Learning Monotone kµ DNF Formulas on Product Distributions. COLT 1991: 179-183
3	EE	Thomas R. Hancock: Learning 2µ DNF Formulas and kµ Decision Trees. COLT 1991: 199-209
2	EE	Thomas R. Hancock, Lisa Hellerstein: Learning Read-Once Formulas over Fields and Extended Bases. COLT 1991: 326-336
1990
1	EE	Thomas R. Hancock: Identifying µ-Formula Decision Trees with Queries. COLT 1990: 23-37

Coauthor Index

1	Nader H. Bshouty	[5] [7] [8] [11] [12] [13] [17]
2	Sally A. Goldman	[8] [17]
3	Mostefa Golea	[6] [10] [15]
4	Lisa Hellerstein	[2] [5] [7] [11] [12] [13]
5	Tao Jiang	[14] [18]
6	J. Stephen Judd	[19]
7	Marek Karpinski	[11]
8	Ming Li	[14] [18]
9	Long-Ji Lin	[19]
10	Yishay Mansour	[4]
11	Mario Marchand	[6] [10] [15]
12	Sleiman Matar	[8] [17]
13	John Tromp	[14] [18]

Colors in the list of coauthors